Log in

Relevant bibliographies by topics / Computer-aided Medical Diagnosis System / Journal articles

To see the other types of publications on this topic, follow the link: Computer-aided Medical Diagnosis System.

Journal articles on the topic 'Computer-aided Medical Diagnosis System'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Computer-aided Medical Diagnosis System.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Innocent, P. R., and R. I. John. "Computer aided fuzzy medical diagnosis." Information Sciences 162, no. 2 (2004): 81–104. http://dx.doi.org/10.1016/j.ins.2004.03.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

De Silva, N. T., and D. J. Jayamanne. "Computer-Aided Medical Diagnosis Using Bayesian Classifier - Decision Support System for Medical Diagnosis." International Journal of Multidisciplinary Studies 3, no. 2 (2017): 91. http://dx.doi.org/10.4038/ijms.v3i2.11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Mujalled, Hattan Omar, and Yasser Kadah. "Diagnosis of Diabetic Retinopathy Utilizing Computer-Aided Diagnosis System." American Journal of Computing and Engineering 3, no. 1 (2020): 1–23. http://dx.doi.org/10.47672/ajce.580.

Full text

Abstract:

Purpose: Diabetes is considered one of most diseases spread among people; blindness is considered the most resulted effect. Diabetes can damage the retinal blood vessels and cause severe problems to the eyes, which may end with sight loss. Such medical condition is known as "diabetic retinopathy" (DR). In such a diagnosis, the retinal microvascular go through several stages of change threat. In the early stages of the DR, detecting the formation that happened to the retinal blood vessels helps prevent the disease's dangerous effects. Therefore, producing a method to diagnose the disease in the

APA, Harvard, Vancouver, ISO, and other styles

4

AKINWOLE, Agnes Kikelomo, Nureni Asafe YEKINI, Olamide Adetokunbo OLOYEDE, and Olanrewaju OJO. "Computer-Aided Medical Diagnosis System Using Logistics Regression Algorithms (LRA) Supervised Learning Approach." Engineering and Technology Journal 06, no. 12 (2021): 1076–83. https://doi.org/10.47191/etj/v6i12.02.

Full text

Abstract:

This work focused on the designing of medical diagnosis system using Supervised Machine Learning. Logistics Regression Algorithms (LRA) was adopted, the label inputs for the data set which the symptoms were trained and mapped with the input of the user. Diagnosis of malaria was considered in this work; the system verified the value of the logical regression in the medical decision support system. Medical practitioners and other health workers can use this system to make better decisions in medical diagnosis for malaria. Adoption of this system will reduce stress of diagnoses malaria from patie

APA, Harvard, Vancouver, ISO, and other styles

5

Shin, Seung Won, and Kwang Gi Kim. "Role of Computer Aided Diagnosis (CAD) in Medical Imaging." Central Asian Journal of Medical Sciences 1, no. 1 (2015): 5–15. http://dx.doi.org/10.24079/cajms.2015.01.002.

Full text

Abstract:

Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD. Methods: Medical images consist of individual pixel elements, to which discrete brightness or color values are assigned. Various methods have been utilized for the analysis of these images. We introduce the five methods: shape analysis, texture analysis, parametric mapping analysis, classification methods and segmentation methods. Results: Various image analysis techniques used in the CAD are quantified by analyzing the various featu

APA, Harvard, Vancouver, ISO, and other styles

6

Park, M., B. Kang, S. J. Jin, and S. Luo. "Computer aided diagnosis system of medical images using incremental learning method." Expert Systems with Applications 36, no. 3 (2009): 7242–51. http://dx.doi.org/10.1016/j.eswa.2008.09.058.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Tuersun, ALimujiang, Weiyang Fang, Chaomin Chen, and Wei Wang. "Deep Learning Applied to Medical Image Aided Diagnosis Systems." Journal of Big Data and Computing 2, no. 1 (2024): 36–43. http://dx.doi.org/10.62517/jbdc.202401105.

Full text

Abstract:

At present, in the field of diagnostic medical imaging, only relying on doctors for diagnosis can no longer meet the needs of contemporary clinical development. Traditional computer-aided diagnostic systems are limited by their recognition ability and universality, and can only provide diagnostic decision-making references for doctors. With the in-depth application of artificial intelligence in the field of medical imaging, the application of deep learning technology in medical imaging-aided diagnosis systems, based on deep neural networks, can not only greatly reduce the workload of doctors,

APA, Harvard, Vancouver, ISO, and other styles

8

HAGIWARA, YUKI, VIDYA K. SUDARSHAN, SOOK SAM LEONG, ANUSHYA VIJAYNANTHAN, and KWAN HOONG NG. "APPLICATION OF ENTROPIES FOR AUTOMATED DIAGNOSIS OF ABNORMALITIES IN ULTRASOUND IMAGES: A REVIEW." Journal of Mechanics in Medicine and Biology 17, no. 07 (2017): 1740012. http://dx.doi.org/10.1142/s0219519417400127.

Full text

Abstract:

Automation of diagnosis process in medical imaging using various computer-aided techniques is a leading topic of research. Among many computer-aided methods, nonlinear entropies are widely applied in the development of automated algorithms to diagnose abnormalities present in medical images. The use of entropy features in development of Computer-Aided Diagnosis (CAD) may enhance the accuracy of the system. Entropy features depict the nonlinearity of images and thereby the presence of complexity in the images. Various types of entropies have been employed in medical image analysis for automated

APA, Harvard, Vancouver, ISO, and other styles

9

Aziz, Miran Hakim, and Alan Anwer Abdulla. "Computer-Aided Diagnosis for the Early Breast Cancer Detection." UHD Journal of Science and Technology 7, no. 1 (2023): 7–14. http://dx.doi.org/10.21928/uhdjst.v7n1y2023.pp7-14.

Full text

Abstract:

Computer-aided diagnosis (CAD) system is a prominent tool for the detection of different forms of diseases, especially cancers, based on medical imaging. Digital image processing is a critical in the processing and analysis of medical images for the disease diagnosis and detection. This study introduces a CAD system for detecting breast cancer. Once the breast region is segmented from the mammograms image, certain texture and statistical features are extracted. GLRLM feature extraction technique is implemented to extracted texture features. On the other hand, statistical features such as skewn

APA, Harvard, Vancouver, ISO, and other styles

10

V M, Nisha, and L. Jeganathan. "A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2018): 471. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp471-477.

Full text

Abstract:

Computer aided diagnosis (CAD) is an advancing technology in medical imaging. CAD acts as an additional computing power for doctors to interpret the medical images which leads to a more accurate diagnosis of the disease.CAD system increases the chances of detection of brain lesions by assisting the physicians in decreasing the observational oversight in the early stage of diseases.This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains.Because of the bilateral symmetric nature of human brain, a symmetry based cellular automata mo

APA, Harvard, Vancouver, ISO, and other styles

11

Loai, Kinani, and Alqasemi Umar. "Computer-Aided Diagnosis of Mammography Cancer." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 725–21. https://doi.org/10.35940/ijeat.E9805.069520.

Full text

Abstract:

In this study, computer-aided detection (CADe) system is optimized to reduce radiologists’ workload and to improve accuracy of cancer detection by providing more quantitative (objective) decisions added to the qualitative (subjective) assessment of radiologists. The images have been collected from MIAS database. 3 databases were prepared by 3 different ROIs sizes (32x32, 42x42 & 52x52 pixels). Then, prepressing is done to enhance the peripheral of ROIs. This CADe computed parametric features from ROIs using statistics, histogram, GLCM and wavelet techniques. Sequential Forward Select

APA, Harvard, Vancouver, ISO, and other styles

12

Normalisa. "A Genetic-Fuzzy System Algorithm Method for the Breast Cancer Diagnosis Problem." International Journal of Artificial Intelligence 8, no. 2 (2021): 74–77. http://dx.doi.org/10.36079/lamintang.ijai-0802.302.

Full text

Abstract:

Breast cancer is an important medical problem, especially for women, computer-aided medical diagnosis is very important in terms of prevention and early detection. This paper presents early detection of breast cancer using two methods, namely genetic algorithm and fuzzy inference system which will be used for early detection of breast cancer which will be used by doctors with computer assistance to obtain medical diagnosis of breast cancer in Indonesia. Our research shows that the diagnosis of breast cancer using these two methods has a high level of accuracy.

APA, Harvard, Vancouver, ISO, and other styles

13

Shrinithi, S., Devi Vijayan, and R. Lavanya. "Computer aided diagnosis system for breast density classification in mammograms." Journal of Physics: Conference Series 2318, no. 1 (2022): 012039. http://dx.doi.org/10.1088/1742-6596/2318/1/012039.

Full text

Abstract:

Abstract Breast cancer is a deadly disease affecting women around the globe. Mass detection in the breast tissue at an early stage can lessen the mortality rate occurring due to breast cancer. Through mammograms, the presence of masses can be detected at an early stage, however, it’s sensitivity and specificity are limited in the case of dense tissues. Identification of the breast density type prior to the detection of mass can lessen the chance of misclassifying a breast tissue as normal or abnormal, which eventually decreases the false negative and false positive rate. The proposed system cl

APA, Harvard, Vancouver, ISO, and other styles

14

Yan, Yan, Xu-Jing Yao, Shui-Hua Wang, and Yu-Dong Zhang. "A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network." Biology 10, no. 11 (2021): 1084. http://dx.doi.org/10.3390/biology10111084.

Full text

Abstract:

Tumors are new tissues that are harmful to human health. The malignant tumor is one of the main diseases that seriously affect human health and threaten human life. For cancer treatment, early detection of pathological features is essential to reduce cancer mortality effectively. Traditional diagnostic methods include routine laboratory tests of the patient’s secretions, and serum, immune and genetic tests. At present, the commonly used clinical imaging examinations include X-ray, CT, MRI, SPECT scan, etc. With the emergence of new problems of radiation noise reduction, medical image noise red

APA, Harvard, Vancouver, ISO, and other styles

15

Kurzyński, Marek, Marcin Majak, and Andrzej Żołnierek. "Multiclassifier systems applied to the computer-aided sequential medical diagnosis." Biocybernetics and Biomedical Engineering 36, no. 4 (2016): 619–25. http://dx.doi.org/10.1016/j.bbe.2016.08.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Mudili, Yaswanth. "Machine Aided Diagnosis System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43375.

Full text

Abstract:

—Machine-Aided Diagnosis System is an intelligent healthcare solution designed to enhance diagnostic accuracy and accessibility through machine learning and AI-driven interactions. The system employs the Random Forest algorithm to analyze multiple symptom correlations, enabling precise disease prediction based on both general and chronic symptoms. An interactive disease dashboard provides a comprehensive symptom profile, suggested specialists, and available treatment methods, ensuring users can interpret their health conditions effectively. Additionally, an LLM( Large Language Model )-powered

APA, Harvard, Vancouver, ISO, and other styles

17

Berezsky, Oleh M., and Pavlo B. Liashchynskyi. "Development of the architecture of a computer aided diagnosis system in medicine." Applied Aspects of Information Technology 7, no. 4 (2024): 359–69. https://doi.org/10.15276/aait.07.2024.25.

Full text

Abstract:

With the development of information technology, automation of various production processes is an urgent task, and medical diagnostics is no exception. In recent decades, artificial intelligence and information technology have been widely used in computer diagnostic systems. However, as technology advances, so do the challenges. Not every system is optimized and fast, and traditional methods are fading into the background. Often, systems do not use cloud technologies and have unoptimized architectures. This all affects their performance and, accordingly, is an urgent problem. The study analyzes

APA, Harvard, Vancouver, ISO, and other styles

18

Zahra, Qoseen, Muhammad Sheraz Arshad Malik, and Naila Batool. "An Efficient Computer-Aided Diagnosis System for the Analysis of DICOM Volumetric Images." July 2019 38, no. 3 (2019): 835–50. http://dx.doi.org/10.22581/muet1982.1903.24.

Full text

Abstract:

Medical images are an important source of diagnosis. The brain of human analysis is now an advanced field of research for computer scientists and biomedical physicians. Services provided by the healthcare units usually vary, the quality of treatment provided in the urban and rural generally not same. Unavailability of medical equipment and services can have serious consequences in patient disease diagnosis and treatment. In this context, we developed. MRI (Magnetic Resonance Imaging) based CAD (Computer Aided Diagnosis) system which takes MRI as input and detects abnormal tissues (Tumors). MRI

APA, Harvard, Vancouver, ISO, and other styles

19

Dhull, Anuradha, Kavita Khanna, Akansha Singh, and Gaurav Gupta. "ACO Inspired Computer-aided Detection/Diagnosis (CADe/CADx) Model for Medical Data Classification." Recent Patents on Computer Science 12, no. 4 (2019): 250–59. http://dx.doi.org/10.2174/2213275912666181205155018.

Full text

Abstract:

Background: Computer-Assisted Diagnosis (CAD) has become a common practice of use in the healthcare industry due to its improved accuracy and reliability. The CAD systems are expected to improve the quality of medical care by assisting healthcare professionals with a wide range of clinical decisions. A CAD system is a combination of Computer-Assisted Detection (CADe) and Computer-Assisted Diagnosis (CADx) system. Objective: The objective of this research article is to generate an optimized rule-set for medical diagnosis capable of providing improved accuracy. It is evident from the literature

APA, Harvard, Vancouver, ISO, and other styles

20

Prof., R. T. Patil. "COMPUTER AIDED DIAGNOSTIC SYSTEM FOR BRAIN TUMOR DETECTION USING K-MEANS CLUSTERING." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 5 (2016): 71–81. https://doi.org/10.5281/zenodo.1463774.

Full text

Abstract:

<strong>Medical informatics researchers have started believing,that the ultimate aim of �computer aided diagnosis� (CAD) and it should be advances as time is progressing and it must assist to make clinical decision support. The concept called image processing is at very attractive technique for advancement of human perception. Large interest in image processing methods stems from two principal applications:improvement of pictorial information for interpretation of human and processing of image data for storage,transmission and representation for autonomous algorithms. This method can be applie

APA, Harvard, Vancouver, ISO, and other styles

21

Althubaity, DaifAllah D., Faisal Fahad Alotaibi, Abdalla Mohamed Ahmed Osman, et al. "Automated Lung Cancer Segmentation in Tissue Micro Array Analysis Histopathological Images Using a Prototype of Computer-Assisted Diagnosis." Journal of Personalized Medicine 13, no. 3 (2023): 388. http://dx.doi.org/10.3390/jpm13030388.

Full text

Abstract:

Background: Lung cancer is a fatal disease that kills approximately 85% of those diagnosed with it. In recent years, advances in medical imaging have greatly improved the acquisition, storage, and visualization of various pathologies, making it a necessary component in medicine today. Objective: Develop a computer-aided diagnostic system to detect lung cancer early by segmenting tumor and non-tumor tissue on Tissue Micro Array Analysis (TMA) histopathological images. Method: The prototype computer-aided diagnostic system was developed to segment tumor areas, non-tumor areas, and fundus on TMA

APA, Harvard, Vancouver, ISO, and other styles

22

Yu, Ruofeng, Ruoyu Yu, Yating Wu, and Shou Fang. "Progress in Computer-aided Diagnosis of Lung Nodules based on CT Images." Journal of Medicine and Health Science 2, no. 2 (2024): 42–47. http://dx.doi.org/10.62517/jmhs.202405209.

Full text

Abstract:

The objective of this study is to review the research progress of computer-aided diagnosis of pulmonary nodules based on CT images. This is done in order to address the challenges posed by the increasing incidence and difficulty of diagnosis of pulmonary nodules. Through an in-depth analysis of the key technologies, algorithms and application cases in the diagnosis of pulmonary nodules, we sought to identify how computer technology can be used to improve the accuracy and efficiency of diagnosis. The study found that CT images have the advantages of high resolution and multi-dimensional reconst

APA, Harvard, Vancouver, ISO, and other styles

23

S, Supreeth, Moiz Ahmed Khan, Sri Krishnan K L, Prof Chetan Umadi, and Prof Dr Smitha Sasi. "A Literature Review on Techniques for Detection of Lung Diseases." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 1328–33. http://dx.doi.org/10.22214/ijraset.2022.40524.

Full text

Abstract:

Abstract: Computer aided diagnosis (CAD) is one of the potential technologies in today’s medical world that assist doctors to interpret and evaluate medical images in a short time. CAD offers support to medical professionals to make decisions on possible diseases. Various systems and approaches are implemented to serve this technology, and many hospitals have deployed the system for diagnosis of diseases. The detection of the proportion of disease would aid in determining if more in-depth tests are required for confirmation of the condition, hence avoiding risky biopsies. This survey focuses o

APA, Harvard, Vancouver, ISO, and other styles

24

Kadhim, Yezi Ali, Muhammad Umer Khan, and Alok Mishra. "Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets." Sensors 22, no. 22 (2022): 8999. http://dx.doi.org/10.3390/s22228999.

Full text

Abstract:

Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possible. Deep learning methods have been able to produce impressive results on medical image datasets. This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature ex

APA, Harvard, Vancouver, ISO, and other styles

25

M. A. Fakron, Malik. "Medical Diagnosis Chair." Journal of Biomedical and Engineering Research 3, no. 1 (2025): 01–04. https://doi.org/10.64030/3065-8780.03.01.02.

Full text

Abstract:

This research study is introducing new medical equipment, which is called a medical diagnosis chair, as a tool for reducing error due to misunderstanding between Doctor and patient. Protecting the rights of patents and doctors in case of medical error in diagnosis or therapy. This medical chair is only for diagnosing of respiratory system , digestion system ,blood circulating system. Using Artificial intelligence and computer programs for defining the human body problems by using sensors for data collection is a fundamental concept for the diagnosis of medical chairs of a special mask for meas

APA, Harvard, Vancouver, ISO, and other styles

26

KAWAKAMI, Takashi, Hiromu HASHIMOTO, Ryosuke OOE, Akihiro KIKUCHI, and Hiroyuki HORIKOSHI. "Computer-Aided Diagnosis Support Systems for Medical Images by Deep Learning." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—E03. http://dx.doi.org/10.1299/jsmermd.2017.2p2-e03.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

TOMIYAMA, TETSUO. "Intelligent computer-aided design systems: Past 20 years and future 20 years." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 1 (2007): 27–29. http://dx.doi.org/10.1017/s0890060407070114.

Full text

Abstract:

Triggered by expert systems technology, artificial intelligence (AI) was a silver bullet in the early 1980s. AI seemed to be able to perfectly solve various problems that involved any intellectual activities. For instance, MYCIN (Shortliffe, 1976), developed at Stanford, gave a strong impression that medical doctors could have been soon supported by a clever consultation system, resulting in more accurate diagnoses. Inspired by these, also in engineering fields, a variety of experimental systems for fault diagnosis, planning, selection, and design were developed, which demonstrated promising p

APA, Harvard, Vancouver, ISO, and other styles

28

Abdulkadir, Ahmed Tahir Aduragba Ayodeji Akeem Ajani Bilkisu Jimada-Ojuolape Muheeb Olanrewaju Ahmed. "EXPERT SYSTEM IN RURAL MEDICAL CARE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 440–50. https://doi.org/10.5281/zenodo.995946.

Full text

Abstract:

This paper looks into how an expert system can be used to solve rural problem as it relates to medical care. An expert system is a computer program that simulates the thought process of a human expert to solve complex decision problems in a specific domain. Rural medical care is a health care system found in the rural areas, whose operations are at its poorest state due to lack of sufficient medical practitioners. This research work looks into the areas of rural medical care that could be aided with the use of an expert system that would automate some of the processes and at the same time supp

APA, Harvard, Vancouver, ISO, and other styles

29

AL-HUSEINY, Muayed S., and Ahmed S. SAJIT. "BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI." Applied Computer Science 18, no. 1 (2022): 99–111. http://dx.doi.org/10.35784/acs-2022-8.

Full text

Abstract:

Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image dataset. Images are preprocessed to clean isolate breast tissue region. Extracted regions are used to adjust and verify a pretrained convolutional deep neural network, the GoogLeNet. The implemented model shows good performance results compared to other published works with accuracy of 86.6%, sensit

APA, Harvard, Vancouver, ISO, and other styles

30

AL-HUSEINY, Muayed S., and Ahmed S. SAJIT. "BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI." Applied Computer Science 18, no. 1 (2022): 99–111. http://dx.doi.org/10.35784/acs-2022-08.

Full text

Abstract:

Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image dataset. Images are preprocessed to clean isolate breast tissue region. Extracted regions are used to adjust and verify a pretrained convolutional deep neural network, the GoogLeNet. The implemented model shows good performance results compared to other published works with accuracy of 86.6%, sensit

APA, Harvard, Vancouver, ISO, and other styles

31

Guo, Yang, and Chen Chen. "An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology." Journal of Healthcare Engineering 2021 (November 22, 2021): 1–14. http://dx.doi.org/10.1155/2021/4644392.

Full text

Abstract:

There are many kinds of orthopedic diseases with complex professional background, and it is easy to miss diagnosis and misdiagnosis. The computer-aided diagnosis system of orthopedic diseases based on the key technology of medical image processing can locate and display the lesion location area by visualization, measuring and providing disease diagnosis indexes. It is of great significance to assist orthopedic doctors to diagnose orthopedic diseases from the perspective of visual vision and quantitative indicators, which can improve the diagnosis rate and accuracy of orthopedic diseases, reduc

APA, Harvard, Vancouver, ISO, and other styles

32

Kowal, Marek, and Paweł Filipczuk. "Nuclei segmentation for computer-aided diagnosis of breast cancer." International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 19–31. http://dx.doi.org/10.2478/amcs-2014-0002.

Full text

Abstract:

Abstract Breast cancer is the most common cancer among women. The effectiveness of treatment depends on early detection of the disease. Computer-aided diagnosis plays an increasingly important role in this field. Particularly, digital pathology has recently become of interest to a growing number of scientists. This work reports on advances in computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies. The task at hand is to classify those as either benign or malignant. We propose a robust segmentation procedure giving satisfactory nuclei separati

APA, Harvard, Vancouver, ISO, and other styles

33

Tekemetieu, Armel Ayimdji, Souleymane KOUSSOUBE, and Laure Pauline FOTSO. "An ontology-based computer-aided diagnosis system in African traditional medicine." Kybernetes 45, no. 1 (2016): 30–50. http://dx.doi.org/10.1108/k-02-2015-0053.

Full text

Abstract:

Purpose – The purpose of this paper is to describe an AI (Artificial Intelligence) that can “think like an African traditional doctor”. The system proposes to model and to use attitudes taken and concepts used by African traditional doctors when facing cases. It is designed to go deep into the concepts of African traditional medicine (ATM) by dealing with all the possible interpretations of those concepts, and to produce more much satisfying and accurate support for medical diagnosis and prescription than existing systems. Design/methodology/approach – To take into account the sometimes strang

APA, Harvard, Vancouver, ISO, and other styles

34

Yang, Ying, Lin Li, Lei Yang, and Xue Jun Zhang. "Exploring Data Mining and Aided Diagnosis System of Hepatopathy." Applied Mechanics and Materials 602-605 (August 2014): 1642–45. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1642.

Full text

Abstract:

Chronic viral hepatitis, especially viral hepatitis B (HBV), has become a widespread infectious disease in the world. China is a big power of country in HBV, and people infected in China are the largest repository of HBV, which provides extensive research resources. The Data Mining and Aided Diagnosis System of Hepatopathy (DMADSH) embarks from the clinical situations and actual needs, combines the medical knowledge with computer data comprehensive analysis and mining technology, and through the knowledge extraction of the vast amounts of patient clinical data, image characteristics, location

APA, Harvard, Vancouver, ISO, and other styles

35

Polat, Kemal, and Salih Güneş. "Computer aided medical diagnosis system based on principal component analysis and artificial immune recognition system classifier algorithm." Expert Systems with Applications 34, no. 1 (2008): 773–79. http://dx.doi.org/10.1016/j.eswa.2006.10.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Yuan, Shuai, Guo Yun Zhang, Jian Hui Wu, and Long Yuan Guo. "Study of Brain Computer Aided Diagnostic System Based on CT Image." Applied Mechanics and Materials 530-531 (February 2014): 297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.297.

Full text

Abstract:

Brain computer aided diagnostic system based on CT image has been widely applied for medical clinical field, which studies image preprocessing, feature extraction and image classification diagnosis based on digital image processing technology. This paper presents system design and realization of aided diagnostic technology for brain CT image. The dynamic grey level range of CT image is extended by adopting segmental linear stretching method at first. Then textural features of CT image are extracted based on GLCM (grey level concurrence matrix). BP neural network algorithm is used to design a c

APA, Harvard, Vancouver, ISO, and other styles

37

Jacobs, Michael, Ali Arfan, and Alaa Sheta. "Diagnosis of Medical Images Using Cloud-Deep Learning System." International Journal of Engineering & Technology 10, no. 2 (2021): 155. http://dx.doi.org/10.14419/ijet.v10i2.31643.

Full text

Abstract:

Diagnosis of brain tumors is one of the most severe medical problems that affect thousands of people each year in the United States. Manual classification of cancerous tumors through examination of MRI images is a difficult task even for trained professionals. It is an error-prone procedure that is dependent on the experience of the radiologist. Brain tumors, in particular, have a high level of complexity. Therefore, computer-aided diagnosis systems designed to assist with this task are of specific interest for physicians. Accurate detection and classification of brain tumors via magnetic reso

APA, Harvard, Vancouver, ISO, and other styles

38

Mushtaq, Bisma, and Dr Satish Saini. "Deep Neural Network-Based Brain Tumor Detection Utilizing CT-Scan Images." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 207–14. http://dx.doi.org/10.22214/ijraset.2022.46135.

Full text

Abstract:

Abstract: Brain tumors more typically affect young people and the elderly. It is an aggressive kind of cancer that develops inside the skull as a result of unregulated brain cell development. Tumor cells are notoriously challenging to classify due to their diversity. Promoting clinical diagnostic technology is challenging, though. As a result, medical demands lead to research on computer-aided diagnostics and medical imaging technologies. Convolutional neural networks are getting more and more advantageous for tumor diagnosis. The company has focused more on computer-assisted diagnostic resear

APA, Harvard, Vancouver, ISO, and other styles

39

Kim, Yun-ji, Hyun Chin Cho, and Hyun-chong Cho. "Deep Learning-Based Computer-Aided Diagnosis System for Gastroscopy Image Classification Using Synthetic Data." Applied Sciences 11, no. 2 (2021): 760. http://dx.doi.org/10.3390/app11020760.

Full text

Abstract:

Gastric cancer has a high mortality rate worldwide, but it can be prevented with early detection through regular gastroscopy. Herein, we propose a deep learning-based computer-aided diagnosis (CADx) system applying data augmentation to help doctors classify gastroscopy images as normal or abnormal. To improve the performance of deep learning, a large amount of training data are required. However, the collection of medical data, owing to their nature, is highly expensive and time consuming. Therefore, data were generated through deep convolutional generative adversarial networks (DCGAN), and 25

APA, Harvard, Vancouver, ISO, and other styles

40

Jadwaa, Sana’a Khudayer. "X-Ray Lung Image Classification Using a Canny Edge Detector." Journal of Electrical and Computer Engineering 2022 (October 28, 2022): 1–8. http://dx.doi.org/10.1155/2022/3081584.

Full text

Abstract:

The medical imaging technique is used in order to obtain a tissue image of a specific part of the human body without any surgical intervention. The presence of differences in the clinical experiences of a section of doctors or doctors in general can lead to discrepancies in the analysis and understanding of medical images and thus affects the accuracy of the diagnosis for the patient’s condition. The use of a medical imaging system for reliable diagnosis through the use of the computer will lead to high accuracy in diagnosis. For this reason, the need to improve the special performance of syst

APA, Harvard, Vancouver, ISO, and other styles

41

A, Prakash, Syafrah Binti Abd Jalil, Narmadha G, Rajesh P.K, and Deivasigamani S. "Computer Aided Automatic Detection and Diagnosis System of Wound and Ulcer Care for Diabetic Patient." International Journal of Engineering and Advanced Technology 11, no. 3 (2022): 51–57. http://dx.doi.org/10.35940/ijeat.c3365.0211322.

Full text

Abstract:

The diabetic wound healing process is a complex task under the category of B40 classification and below. The medical expenses are high in private wound specialist organizations compared to government hospitals. This article designed a computer-aided automatic detection and classification method for wound and ulcer care for diabetic patients using image processing techniques by Edge detection, colour scale of tissues, wound area calculation, and percentage calculation with GUI. The system results, Combination of edge detection methodology and 2-D boundary technique and design with the significa

APA, Harvard, Vancouver, ISO, and other styles

42

Prakash, A., Binti Abd Jalil Syafrah, G. Narmadha, P.K Rajesh, and S. Deivasigamani. "Computer Aided Automatic Detection and Diagnosis System of Wound and Ulcer Care for Diabetic Patient." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 3 (2022): 51–57. https://doi.org/10.35940/ijeat.C3365.0211322.

Full text

Abstract:

<strong>Abstract: </strong>The diabetic wound healing process is a complex task under the category of B40 classification and below. The medical expenses are high in private wound specialist organizations compared to government hospitals. This article designed a computer-aided automatic detection and classification method for wound and ulcer care for diabetic patients using image processing techniques by Edge detection, colour scale of tissues, wound area calculation, and percentage calculation with GUI. The system results, Combination of edge detection methodology and 2-D boundary technique an

APA, Harvard, Vancouver, ISO, and other styles

43

Jusman, Yessi, Siew Cheok Ng, and Noor Azuan Abu Osman. "Intelligent Screening Systems for Cervical Cancer." Scientific World Journal 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/810368.

Full text

Abstract:

Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications. These technologies could be used to automatically diagnose patient or serve as second opinion to pathologists. This paper briefly reviews cervical screening techniques, advantages, and disadvantages. The digital data of the screening techniques are used as data for the computer screening system as replaced in the expert analysis. Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail.

APA, Harvard, Vancouver, ISO, and other styles

44

Xiu, Feifei, Guishan Rong, and Tao Zhang. "Construction of a Computer-Aided Analysis System for Orthopedic Diseases Based on High-Frequency Ultrasound Images." Computational and Mathematical Methods in Medicine 2022 (January 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/8754693.

Full text

Abstract:

The area of medical diagnosis has been transformed by computer-aided diagnosis (CAD). With the advancement of technology and the widespread availability of medical data, CAD has gotten a lot of attention, and numerous methods for predicting different pathological diseases have been created. Ultrasound (US) is the safest clinical imaging method; therefore, it is widely utilized in medical and healthcare settings with computer-aided systems. However, owing to patient movement and equipment constraints, certain artefacts make identification of these US pictures challenging. To enhance the quality

APA, Harvard, Vancouver, ISO, and other styles

45

Iakovidis, D. K., T. Goudas, C. Smailis, and I. Maglogiannis. "Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/286856.

Full text

Abstract:

Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness, versatility, and extensibility, features that can be exploited to transform it into an effective CAD system. In order to demonstrate this unique capability, we present its novel application for the evaluation and quantification of salient objects and structures of interest in kidney biopsy images. Accurate annotation identifying and quantifyin

APA, Harvard, Vancouver, ISO, and other styles

46

Zheng, Guangyuan, Guanghui Han, Nouman Q. Soomro, et al. "A Novel Computer-Aided Diagnosis Scheme on Small Annotated Set: G2C-CAD." BioMed Research International 2019 (April 15, 2019): 1–14. http://dx.doi.org/10.1155/2019/6425963.

Full text

Abstract:

Purpose. Computer-aided diagnosis (CAD) can aid in improving diagnostic level; however, the main problem currently faced by CAD is that it cannot obtain sufficient labeled samples. To solve this problem, in this study, we adopt a generative adversarial network (GAN) approach and design a semisupervised learning algorithm, named G2C-CAD. Methods. From the National Cancer Institute (NCI) Lung Image Database Consortium (LIDC) dataset, we extracted four types of pulmonary nodule sign images closely related to lung cancer: noncentral calcification, lobulation, spiculation, and nonsolid/ground-glass

APA, Harvard, Vancouver, ISO, and other styles

47

Asadi, Faisal, Joko Pebrianto Trinugroho, and Bens Pardamean. "Design of Computer-Aided-Diagnosis (CAD) for Self- Assessment Tuberculosis in Indonesia." E3S Web of Conferences 388 (2023): 02004. http://dx.doi.org/10.1051/e3sconf/202338802004.

Full text

Abstract:

Tuberculosis (TB) is one of the highest causes of death in Indonesia. The main reason is lack of the health facilities. Computer-aided diagnosis (CAD) is a tool for early treatment and screening of many diseases, including TB. This paper proposed a design of a CAD system in Indonesia specifically for TB. The design gives the analysis of self-assessment concepts, use-case diagrams, and black-box diagrams. The black box utilizes chest x-ray (CXR) data for the medical image processing (MIP) method, and artificial intelligence (AI) for classification and visualization of the TB. This CAD design of

APA, Harvard, Vancouver, ISO, and other styles

48

Kim, Tae-Yun, Jaebum Son, and Kwang-Gi Kim. "The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems." Healthcare Informatics Research 17, no. 3 (2011): 143. http://dx.doi.org/10.4258/hir.2011.17.3.143.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Jaya. "Implementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image Segmentation." Journal of Computer Science 7, no. 2 (2011): 291–97. http://dx.doi.org/10.3844/jcssp.2011.291.297.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Wang, Hui, Yanying Li, Shanshan Liu, and Xianwen Yue. "Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules." Computational and Mathematical Methods in Medicine 2022 (January 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/7729524.

Full text

Abstract:

At present, the diagnosis and treatment of lung cancer have always been one of the research hotspots in the medical field. Early diagnosis and treatment of this disease are necessary means to improve the survival rate of lung cancer patients and reduce their mortality. The introduction of computer-aided diagnosis technology can easily, quickly, and accurately identify the lung nodule area as an imaging feature of early lung cancer for the clinical diagnosis of lung cancer and is helpful for the quantitative analysis of the characteristics of lung nodules and is useful for distinguishing benign

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!