Relevant bibliographies by topics / Computer Assisted Diagnosis (CAD)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computer Assisted Diagnosis (CAD)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Computer Assisted Diagnosis (CAD)"

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Chambara, Nonhlanhla, Shirley Yuk Wah Liu, Xina Lo, and Michael Ying. "Comparative Analysis of Computer-Aided Diagnosis and Computer-Assisted Subjective Assessment in Thyroid Ultrasound." Life 11, no. 11 (2021): 1148. http://dx.doi.org/10.3390/life11111148.

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The value of computer-aided diagnosis (CAD) and computer-assisted techniques equipped with different TIRADS remains ambiguous. Parallel diagnosis performances of computer-assisted subjective assessments and CAD were compared based on AACE, ATA, EU, and KSThR TIRADS. CAD software computed the diagnosis of 162 thyroid nodule sonograms. Two raters (R1 and R2) independently rated the sonographic features of the nodules using an online risk calculator while blinded to pathology results. Diagnostic efficiency measures were calculated based on the final pathology results. R1 had higher diagnostic per
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Caputo, Alessandro, Elisabetta Maffei, Nalini Gupta, et al. "Computer-assisted diagnosis to improve diagnostic pathology: A review." Indian Journal of Pathology and Microbiology 68, no. 1 (2025): 3–10. https://doi.org/10.4103/ijpm.ijpm_339_24.

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ABSTRACT With an increasing demand for accuracy and efficiency in diagnostic pathology, computer-assisted diagnosis (CAD) emerges as a prominent and transformative solution. This review aims to explore the practical applications, implications, strengths, and weaknesses of CAD applied to diagnostic pathology. A comprehensive literature search was conducted to include English-language studies focusing on CAD tools, digital pathology, and Artificial intelligence (AI) applications in pathology. The review underscores the transformative potential of CAD tools in pathology, particularly in streamlin
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Zhao, Wanjun, Qingbo Kang, Feiyan Qian, Kang Li, Jingqiang Zhu, and Buyun Ma. "Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto’s Thyroiditis on Ultrasound." Journal of Clinical Endocrinology & Metabolism 107, no. 4 (2021): 953–63. http://dx.doi.org/10.1210/clinem/dgab870.

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Abstract Purpose This study investigates the efficiency of deep learning models in the automated diagnosis of Hashimoto’s thyroiditis (HT) using real-world ultrasound data from ultrasound examinations by computer-assisted diagnosis (CAD) with artificial intelligence. Methods We retrospectively collected ultrasound images from patients with and without HT from 2 hospitals in China between September 2008 and February 2018. Images were divided into a training set (80%) and a validation set (20%). We ensembled 9 convolutional neural networks (CNNs) as the final model (CAD-HT) for HT classification
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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.

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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
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Giannini, Valentina, Simone Mazzetti, Giovanni Cappello, et al. "Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers." Diagnostics 11, no. 6 (2021): 973. http://dx.doi.org/10.3390/diagnostics11060973.

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Recently, Computer Aided Diagnosis (CAD) systems have been proposed to help radiologists in detecting and characterizing Prostate Cancer (PCa). However, few studies evaluated the performances of these systems in a clinical setting, especially when used by non-experienced readers. The main aim of this study is to assess the diagnostic performance of non-experienced readers when reporting assisted by the likelihood map generated by a CAD system, and to compare the results with the unassisted interpretation. Three resident radiologists were asked to review multiparametric-MRI of patients with and
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Kalejahi, Behnam Kiani, Saeed Meshgini, Sebelan Danishvar, and Sara Khorram. "Diagnosis of liver disease by computer- assisted imaging techniques: A literature review." Intelligent Data Analysis 26, no. 4 (2022): 1097–114. http://dx.doi.org/10.3233/ida-216379.

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Diagnosis of liver disease using computer-aided detection (CAD) systems is one of the most efficient and cost-effective methods of medical image diagnosis. Accurate disease detection by using ultrasound images or other medical imaging modalities depends on the physician’s or doctor’s experience and skill. CAD systems have a critical role in helping experts make accurate and right-sized assessments. There are different types of CAD systems for diagnosing different diseases, and one of the applications is in liver disease diagnosis and detection by using intelligent algorithms to detect any abno
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Kage, A., T. Wittenberg, S. Mühldorfer, and C. Münzenmayer. "Computer-assisted Diagnosis for Precancerous Lesions in the Esophagus." Methods of Information in Medicine 48, no. 04 (2009): 324–30. http://dx.doi.org/10.3414/me9230.

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Summary Objectives: The interpretation of endoscopic findings by gastroenterologists is still a difficult and highly subjective task. Despite important developments such as chromo-endoscopy, pit pattern analysis, fluorescence imaging as well as narrow band imaging it still requires lots of experience and training with a certain tentativeness until the final biopsy. By the development of computer-assisted diagnosis (CAD) systems this process can be supported. Methods: This paper presents a new approach to CAD for precancerous lesions in the esophagus based on color-texture analysis in a content
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Ochiai, Kentaro, Tsuyoshi Ozawa, Junichi Shibata, Soichiro Ishihara, and Tomohiro Tada. "Current Status of Artificial Intelligence-Based Computer-Assisted Diagnosis Systems for Gastric Cancer in Endoscopy." Diagnostics 12, no. 12 (2022): 3153. http://dx.doi.org/10.3390/diagnostics12123153.

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Artificial intelligence (AI) is gradually being utilized in various fields as its performance has been improving with the development of deep learning methods, availability of big data, and the progression of computer processing units. In the field of medicine, AI is mainly implemented in image recognition, such as in radiographic and pathologic diagnoses. In the realm of gastrointestinal endoscopy, although AI-based computer-assisted detection/diagnosis (CAD) systems have been applied in some areas, such as colorectal polyp detection and diagnosis, so far, their implementation in real-world c
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Benammar Elgaaied, Amel, Donato Cascio, Salvatore Bruno, et al. "Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project." BioMed Research International 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/2073076.

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Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images
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Lee, Si Eun, and Eun-Kyung Kim. "Applications of artificial intelligence-based computer-assisted diagnosis in breast radiology: a narrative review." Journal of the Korean Medical Association 68, no. 5 (2025): 281–87. https://doi.org/10.5124/jkma.25.0045.

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Purpose: Mammography is the standard screening method for breast cancer, proven to reduce mortality. However, its diagnostic performance varies depending on patient characteristics and radiologist expertise. Dense breast tissue, present in approximately 70% of Korean women aged 40 to 59, limits detection by obscuring malignancies. Additionally, optimal interpretation requires extensive training, which is not always achievable. Artificial intelligence-based computer-aided diagnosis (AI-CAD) has emerged as a promising tool for enhancing mammographic accuracy and efficiency.Current Concepts: AI-C
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Dissertations / Theses on the topic "Computer Assisted Diagnosis (CAD)"

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Stork, Matthew William. "The development and evaluation of a computer-assisted learning program to teach diagnosis and treatment in community pharmacy." Thesis, King's College London (University of London), 1995. https://kclpure.kcl.ac.uk/portal/en/theses/the-development-and-evaluation-of-a-computerassisted-learning-program-to-teach-diagnosis-and-treatment-in-community-pharmacy(6425c682-fe68-4722-ac41-6a327991f017).html.

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Speer, William R. "Virtual Manipulatives: Design-based Countermeasures to Selected Potential Hazards." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80966.

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Virtual manipulatives are employed by both preservice and inservice teachers to enhance the instructional effectiveness of physical manipulatives and related tools by addressing limitations of access, cost, and adaptability. While research into the use of emerging technologies continues, there are several variables to consider when measuring the effects of virtual manipulative use. Research design, sampling characteristics, and the type of manipulative used may influence achievement. Variables that may influence the effectiveness of virtual manipulatives include: previous experience with compu
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Saibro, Güinther. "Classification automatique des vidéos échographiques abdominales : de l'annotation subjective à l'inférence en temps réel dans des vidéos brutes." Electronic Thesis or Diss., Strasbourg, 2025. http://www.theses.fr/2025STRAD002.

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L’échographie b-mode est idéale pour le dépistage précoce des pathologies abdominales grâce à son faible coût et son caractère non-invasif. Les méthodes de diagnostic automatique basées sur l’apprentissage profond visent à réduire l’expertise requise, elles sont souvent entraînées sur des données manuellement sélectionnées d’images haute qualité, limitant leur efficacité sur des vidéos brutes contenant beaucoup d'images de faible qualité. Nous étudions des solutions d’apprentissage profond pour le diagnostic automatisé des pathologies du foie et du rein à partir de ces vidéos. Nos contribution
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Pons, Rodríguez Gerard. "Computer-aided lesion detection and segmentation on breast ultrasound." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/129453.

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This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, segmenting, and classifying breast abnormalities on sonography automatically. Firstly, an adaption of a generic object detection method, Deformable Part Models (DPM), to detect lesions in sonography is proposed. The method uses a machine learning technique to learn a model based on Histogram of Oriented Gradients (HOG). This method is also used to detect cancer lesions directly,
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Elter, Matthias. "Computer-aided diagnosis of breast cancer." Tönning Lübeck Marburg Der Andere-Verl, 2010. http://d-nb.info/1001110773/04.

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Azegrouz, Hind. "Image analysis toward computer assisted retinal diagnosis." Thesis, Heriot-Watt University, 2008. http://hdl.handle.net/10399/2063.

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Retina is one of the key features of the human eye. Analysis of retinal images is essential for early detection and diagnosis of pathologies. This thesis deals with retinal image processing and analysis of colour fundus images. The main contributions of this thesis are: • A geometrical and morphological analysis of the retinal vasculature. Starting from a binary image of the vascular network, the analogy between the vasculature and the structure of a graph was explored, yielding a matrix representation of blood vessels. Properties of each graph edge (corresponding to vessels) were computed,
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Mori, Kensaku. "Advances in Computer Aided Diagnosis and Computer Assisted Surgery." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10452.

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Kachouri, Imen. "Description et classification des masses mammaires pour le diagnostic du cancer du sein." Thesis, Evry-Val d'Essonne, 2012. http://www.theses.fr/2012EVRY0017/document.

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Le diagnostic assisté par ordinateur du cancer du sein devient de plus en plus une nécessité vu la croissance exponentielle du nombre de mammographies effectuées chaque année. En particulier, le diagnostic des masses mammaires et leur classification suscitent actuellement un grand intérêt. En effet, la complexité des formes traitées et la difficulté rencontrée afin de les discerner nécessitent l'usage de descripteurs appropriés. Dans ce travail, des méthodes de caractérisation adaptées aux pathologies mammaires sont proposées ainsi que l'étude de différentes méthodes de classification est abor
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Warnquist, Håkan. "Computer-Assisted Troubleshooting for Efficient Off-board Diagnosis." Licentiate thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-67522.

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This licentiate thesis considers computer-assisted troubleshooting of complex products such as heavy trucks. The troubleshooting task is to find and repair all faulty components in a malfunctioning system. This is done by performing actions to gather more information regarding which faults there can be or to repair components that are suspected to be faulty. The expected cost of the performed actions should be as low as possible. The work described in this thesis contributes to solving the troubleshooting task in such a way that a good trade-off between computation time and solution quality ca
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Xiao, Chun. "Computer Aided Diagnosis (CAD) of Parkinson‘s Disease with Machine Learning Models." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21390.

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Parkinson‘s disease is a disorder of nervous system that mainly affects aged people. It is caused by the progressive degeneration of nerve cells in the brain, which results in a lack of dopamine necessary for controlled movements. As Parkinson‘s disease can not be cured, the early detection of Parkinson‘s disease is very helpful for a better management and care of patients, their families and the communities. This thesis reviewed the research status of Parkinson’s Disease (PD) diagnosis and extensive genetic association of PD issues, and proposed a key feature based machine learning strategy
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Books on the topic "Computer Assisted Diagnosis (CAD)"

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A, Reggia James, and Tuhrim Stanley, eds. Computer-assisted medical decision making. Springer-Verlag, 1985.

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Gröndahl, Kerstin. Computer-assisted subtraction radiography in periodontal diagnosis. [publisher not identified], 1987.

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International Symposium CAR Computer Assisted Radiology. (1991 Berlin, Germany). Computer assisted radiology: Proceedings of the International Symposium CAR '91 Computer Assisted Radiology. Springer-Verlag, 1991.

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International Symposium CAR '87 Computer Assisted Radiology (1987 Berlin, Germany). Computer assisted radiology: Proceedings of the International Symposium CAR '87 Computer Assisted Radiology. Springer-Verlag, 1987.

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International Symposium CAR Computer Assisted Radiology. (1985 Berlin, Germany). Computer assisted radiology: Proceedings of the International Symposium CAR '85 Computer Assisted Radiology = Computergestützte Radiologie : Vorträge des Internationalen Symposiums CAR '85 Computer Assisted Radiology. Springer-Verlag, 1985.

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Catt, Mark Edward *. Intelligent diagnosis of ungrammaticality in computer-assisted language instruction. University of Toronto, Dept. of Computer Science, 1988.

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Catt, Mark Edward. Intelligent diagnosis of ungrammaticality in computer-assisted language instruction. Computer Systems Research Institute, University of Toronto, 1988.

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J, Gotman, Gloor Pierre, and Ives J. R, eds. Long-term monitoring in epilepsy. Elsevier, 1985.

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U, Lemke H., ed. Computer assisted radiology: Proceedings of the 3rd International Symposium CAR '89 Computer Assisted Radiology = Computergestützte Radiologie : Vorträge des 3. Internationalen Symposiums CAR '89 Computer Assisted Radiology. Springer-Verlag, 1989.

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Karssemeijer, Nico. Medical imaging 2010: Computer-aided diagnosis : 16-18 February 2010, San Diego, California, United States. SPIE, 2010.

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Book chapters on the topic "Computer Assisted Diagnosis (CAD)"

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Rotte, K. H., E. Perlick, and G. Kundt. "Computer Assisted Diagnosis of Bone Tumors." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_81.

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Felsberg, Lutz, Thomas Tolxdorff, and Klaus Gersonde. "Knowledge-Based Computer-Assisted Diagnosis in Parameter-Selective NMR Imaging." In CAR ’87 Computer Assisted Radiology. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_64.

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Iglesias, J. R., C. Aruffo, J. Esparza, B. Trempenau, and E. Kazner. "An Expert System for the Diagnosis of Brain Tumors." In CAR ’87 Computer Assisted Radiology. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_63.

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Andonie, R., D. Waniek, I. Garbacea, and S. Cismas. "The Iris Image Analysis for Medical Diagnosis." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_126.

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Iglesias, J. R., J. Esparza, K. Tönnsen, C. Aruffo, Ch Brinnel, and K. Maier-Hauff. "Computer Assisted Diagnosis of Brain Tumours in CT-Scan Imaging." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_77.

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Zieger, M., R. Weiske, and A. Gerlach. "Technical Improvements in Ultrasonography and Computed Tomography and their Impact on Early Diagnosis of Renal Mass Lesions." In CAR ’87 Computer Assisted Radiology. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_29.

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Jarnicki, K., J. Jarnicki, and R. Marciniak. "Evaluation of Digital Image Processing in Angiography for the Diagnosis of Renal Neoplasms." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_124.

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Rubio, Nicolás A. "CAD: Computer-Assisted Design." In Digital Dental Implantology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65947-9_2.

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Weiske, R. "Improved Skeletal Diagnostic Methods." In CAR ’87 Computer Assisted Radiology. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_68.

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Schultze, Hermann. "Computer Assisted Diagnosis." In Expert Systems and Decision Support in Medicine. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-48706-4_107.

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Conference papers on the topic "Computer Assisted Diagnosis (CAD)"

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Kanakaraj, Praitayini, Alexis Burgon, Nicholas Petrick, and Ravi K. Samala. "BEHYPE: bias evaluation using hyperdimensional computing in AI-assisted decision support systems." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3047359.

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Wu, Xiangcen, Yipei Wang, Qianye Yang, et al. "AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3046521.

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Sun, Di, Lubomir Hadjiiski, Ajjai Alva, et al. "Observer study: impact of case complexities and physician characteristics on AI-assisted treatment response assessment in bladder cancer." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3049033.

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Mishra, Aditya, Suvendu Rup, and Figlu Mohanty. "Diagnosis of digital mammograms using computer-assisted system: A Review." In 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT). IEEE, 2024. https://doi.org/10.1109/ic-sit63503.2024.10862599.

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Mayer, Peter. "CORUND - Expert System for Diagnosis of Corrosion Problems in Buried Power Distribution Systems." In CORROSION 1990. NACE International, 1990. https://doi.org/10.5006/c1990-90567.

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Abstract The CORUND expert system package was developed as a guide to diagnosing corrosion of buried and below-grade metal equipment belonging to electric power distribution utilities. It is intended to assist utility personnel during equipment inspection and/or failure investigation to recognize, identify and assess corrosion damage. The program guides the user through the equipment investigation process by asking simple questions, answers to which can be obtained by determining the equipment type, location, current service status, material of construction, and various parameters which can be
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Zhong, Jin, Hongzhang Guo, and Dong Jiang. "Lab-SAM: SAM-based medical image enhancement algorithm for assisted diagnosis." In 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE). IEEE, 2024. https://doi.org/10.1109/icemce64157.2024.10862318.

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Mayer, P., and D. LeFrancois. "Expert System for Engineering of Wear Resistant Surfaces and for Wear Problem Diagnosis." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92282.

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Abstract An expert system package was developed for use by designers and maintenance personnel who are involved in surface engineering. It is intended to assist their efforts in identifying proper methods for improving wear resistance of metal surfaces. By asking simple questions the program guides the user to those processes which will likely provide the best results. For the first time, accumulated knowledge, expertise and experience of tribologists, engineers, and technicians are available in microcomputer accessible form. In a matter of seconds one can determine an applicable process, to i
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Huang, Shan, Hexia Xiang, Jingjie Li, Yongkai Sun, and Xiaodong Duan. "Assisted diagnosis of breast cancer based on federated learning and improved DenseNet." In 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), edited by Xin Zhang and Minghao Yin. SPIE, 2024. http://dx.doi.org/10.1117/12.3048273.

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Fathallah, Wyssem, Hiba Mzoughi, Sawsan Selmi, Abdelbaki Souid, and Hedi Sakli. "Computer Aided Diagnosis CAD tool for lung and thoracic pathologies detection from chest X-ray images." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059573.

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Qazi, Ahmed, and Asim Iqbal. "ExerAIde: AI-assisted Multimodal Diagnosis for Enhanced Sports Performance and Personalised Rehabilitation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00347.

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Reports on the topic "Computer Assisted Diagnosis (CAD)"

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SAINI, RAVINDER, AbdulKhaliq Alshadid, and Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.

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Review question / Objective: 1. Which artificial intelligence techniques are practiced in dentistry? 2. How AI is improving the diagnosis, clinical decision making, and outcome of dental treatment? 3. What are the current clinical applications and diagnostic performance of AI in the field of prosthodontics? Condition being studied: Procedures for desktop designing and fabrication Computer-aided design (CAD/CAM) in particular have made their way into routine healthcare and laboratory practice.Based on flat imagery, artificial intelligence may also be utilized to forecast the debonding of dental
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Crooks, Roderic. Toward People’s Community Control of Technology: Race, Access, and Education. Social Science Research Council, 2022. http://dx.doi.org/10.35650/jt.3015.d.2022.

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This field review explores how the benefits of access to computing for racialized and minoritized communities has become an accepted fact in policy and research, despite decades of evidence that technical fixes do not solve the kinds of complex social problems that disproportionately affect these communities. I use the digital divide framework—a 1990s policy diagnosis that argues that the growth and success of the internet would bifurcate the public into digital “haves” and “have-nots”—as a lens to look at why access to computing frequently appears as a means to achieve economic, political, an
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Levisohn, Sharon, Maricarmen Garcia, David Yogev, and Stanley Kleven. Targeted Molecular Typing of Pathogenic Avian Mycoplasmas. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695853.bard.

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Intraspecies identification (DNA "fingerprinting") of pathogenic avian mycoplasmas is a powerful tool for epidemiological studies and monitoring strain identity. However the only widely method available for Mycoplasma gallisepticum (MG) and M. synoviae (MS)wasrandom amplified polymorphic DNA (RAPD). This project aimed to develop alternative and supplementary typing methods that will overcome the major constraints of RAPD, such as the need for isolation of the organism in pure culture and the lack of reproducibility intrinsic in the method. Our strategy focussed on recognition of molecular mark
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