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Dissertations / Theses on the topic 'Computer aided detection system'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Asl, Babak Ghafary. "A Computer Aided Detection System for Cerebral Microbleeds in Brain MRI." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6053.

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Advances in MR technology have improved the potential for visualization of small lesions in brain images. This has resulted in the opportunity to detect cerebral microbleeds (CMBs), small hemorrhages in the brain that are known to be associated with risk of ischemic stroke and intracerebral bleeding. Currently, no computerized method is available for fully- or semi-automated detection of CMBs. In this paper, we propose a CAD system for the detection of CMBs to speed up visual analysis in population-based studies. Our method consists of three steps: (i) skull-stripping (ii) initial candidate se

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GIANNINI, VALENTINA. "Computer Aided Diagnosis systems for MR cancer detection." Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2496445.

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The research activity conducted during my PhD aims to develop two diﬀerent Computer Aided Diagnosis (CAD) systems for breast and prostate cancer diagnosis using Magnetic Resonance Imaging. During the ﬁrst part of this thesis I will illustrate a fully automatic CAD system for breast cancer detection and diagnosis with Dynamic Contrast Enhanced MRI (DCE-MRI) developed by our group. The main goal of a CAD system is lesions detection and characterization. The processing pipeline includes automatic segmentation of the breast and axillary regions, registration of unenhanced and contrast-enhanced fra

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3

Rabbani, Seyedeh Parisa. "Effect of image variation on computer aided detection systems." Thesis, KTH, Skolan för teknik och hälsa (STH), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123546.

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Computer Aided Detection (CAD) systems are expecting to gain significant importance in terms of reducing the work load of radiologists and enabling the large screening programs. A large share of CAD systems are based on learning from examples, to enables the decision making between the images with or without disease. Images are simplified to numerical descriptors (features vectors) and the system is trained with these features. The common practical problem with CAD systems is training the system with a data from a specific source and testing it on a data from a different source; the variations

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Jirari, Mohammed. "Computer Aided System For Detecting Masses In Mammograms." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1212099614.

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5

He, Qinfen. "Computer-aided instrument system for the detection and analysis of partial discharge activity." Thesis, Glasgow Caledonian University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282747.

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6

Casiraghi, E. "A computer aided diagnosis system for lung nodules detection in postero anterior chest radiographs." Doctoral thesis, Università degli Studi di Milano, 2004. http://hdl.handle.net/2434/451239.

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This thesis describes a Computer Aided System aimed at lung nodules detection. The fully automatized method developed to search for nodules is composed by four steps. They are the segmentation of the lung field, the enhancement of the image, the extraction of the candidate regions, and the selection between them of the regions with the highest chance to be True Positives. The steps of segmentation, enhancement and candidates extraction are based on multi-scale analysis. The common assumption underlying their development is that the signal representing the details to be detected by each

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7

Xu, Chong. "Reduced-complexity near-optimal Ant-Colony-aided multi-user detection for CDMA systems." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/206015/.

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Reduced-complexity near-maximum-likelihood Ant-Colony Optimization (ACO) assisted Multi-User Detectors (MUDs) are proposed and investigated. The exhaustive search complexity of the optimal detection algorithm may be deemed excessive for practical applications. For example, a Space-Time Block Coded (STBC) two transmit assisted K = 32-user system has to search through the candidate-space for finding the final detection output during 264 times per symbol duration by invoking the Euclidean-distance-calculation of a 64-element complex-valued vector. Hence, a nearoptimal or near-ML MUDs are required

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8

Qi, Xuguang. "AUTOMATED MIDLINE SHIFT DETECTION ON BRAIN CT IMAGES FOR COMPUTER-AIDED CLINICAL DECISION SUPPORT." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/504.

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Midline shift (MLS), the amount of displacement of the brain’s midline from its normal symmetric position due to illness or injury, is an important index for clinicians to assess the severity of traumatic brain injury (TBI). In this dissertation, an automated computer-aided midline shift estimation system is proposed. First, a CT slice selection algorithm (SSA) is designed to automatically select a subset of appropriate CT slices from a large number of raw images for MLS detection. Next, ideal midline detection is implemented based on skull bone anatomical features and global rotation assumpt

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9

Thaung, Ludwig. "Advanced Data Augmentation : With Generative Adversarial Networks and Computer-Aided Design." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170886.

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CNN-based (Convolutional Neural Network) visual object detectors often reach human level of accuracy but need to be trained with large amounts of manually annotated data. Collecting and annotating this data can frequently be time-consuming and financially expensive. Using generative models to augment the data can help minimize the amount of data required and increase detection per-formance. Many state-of-the-art generative models are Generative Adversarial Networks (GANs). This thesis investigates if and how one can utilize image data to generate new data through GANs to train a YOLO-based (Yo

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10

Wen, Yiding. "Detecting microcalcifications in digitised mammograms by a computer aided diagnostic system." Thesis, The University of Sydney, 1999. https://hdl.handle.net/2123/27591.

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Breast cancer is now one of the most common forms of cancer and the leading cause of mortality in women in the developed countries. Early detection of breast cancer is currently the way to reduce breast cancer mortality and enhance the cure rate. Mammogram screening is widely recognized as the most reliable method for early detection of lesions and clustered microcalcifications, which are the two prominent symptoms of breast cancer. This thesis presents an image processing procedure for the automatic detection of clustered microcalcifications in digitized mammograms. This method consi

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11

Kelsey, Matthew Douglas. "THE DEVELOPMENT AND EVALUATION OF TECHNIQUES FOR USE IN MAMMOGRAPHIC SCREENING COMPUTER AIDED DETECTION SYSTEMS." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/331.

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The material presented in this dissertation details techniques developed to aid in the detection of a specific type of cancerous lesion visible on screening mammography images. These spiculated lesions most often appear as centrally bright objects with semi-defined borders. Furthermore, lesion margins are composed of indicative spiculations or fine tendrils projecting outward from the mass center. The techniques developed here to identify these characteristics and detect these objects are intended to operate as a processing pipeline. The first group of these processing stages is responsibl

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12

Stewart, James. "The application of artificial intelligence to fault detection in hydraulic cylinder drive systems." Thesis, Cardiff University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284493.

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An expert system approach to fault diagnosis of fluid power circuits is considered with emphasis on leakage flow detection, and for valvecontrolled cylinders. Two test rigs were used, one being a solenoid-valve controlled cylinder operated directly and in an open-loop mode, the other being a servo-valve controlled actuator operated by microcomputer and in a closed-loop mode. Both systems incorporated the use of on-line dynamic data, and for the closed-loop case operation and fault diagnosis was integrated into an automated procedure. Flow leakage detection was considered a priority, and an alt

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13

Marr, J. G. D. "Computer-aided detection systems for HPLC : Development, assessment and application of digital techniques for peak purity validation in HPLC utilising photodiode array detection." Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384261.

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14

Jensen, Matthew Lynn. "The Effects of an Expert System on Novice and Professional Decision Making with Application in Deception Detection." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/193557.

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One effective way for organizations to capture expert knowledge and experience is to encapsulate it within an expert system (ES) and make that system available to others. While ES users have access to the system's knowledge, they shoulder the difficult task of appropriately incorporating the ES recommendations into the decision-making process.One proposed application of an ES is in the realm of deception detection. Humans are inherently poor at recognizing deception when it occurs and their confidence in their judgments is poorly calibrated to their performance. An ES has the potential to sign

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15

SAVELLI, Benedetta. "Deep Learning for computer-aided detection and diagnosis of clustered microcalcifications on digital mammograms." Doctoral thesis, Università degli studi di Cassino, 2020. http://hdl.handle.net/11580/74756.

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Breast cancer is one of the most common cause of cancer death in women worldwide. In most western countries, screening programs are organized in order to detect breast cancers at an early stage. To improve breast cancer detection, many radiologists use computer-aided detection and diagnosis (CAD) systems which are able to detect and characterize mammographic signs of malignancy such as clustered microcalcifications and masses through computerized image analysis. Even though effective in terms of sensitivity, these systems produce a too high number of false alarms, which potentially limits the

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16

Adewole, Adeyemi Charles. "Investigation of methodologies for fault detection and diagnosis in electric power system protection." Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/1273.

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Thesis Submitted in fulfilment of the requirements for the degree Master of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology, 2012<br>The widespread deregulation and restructuring of electric power utilities throughout the world and the surge in competition amongst utility companies has brought about the desire for improved economic efficiency of electric utilities and the provision of better service to energy consumers. These end users are usually connected to the distribution network. Thus, there is a growing research interest in

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17

TRAVERSO, ALBERTO. "Development and application in clinical practice of Computer-aided Diagnosis systems for the early detection of lung cancer." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2686725.

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Lung cancer is the main cause of cancer-related deaths both in Europe and United States, because often it is diagnosed at late stages of the disease, when the survival rate is very low if compared to first asymptomatic stage. Lung cancer screening using annual low-dose Computed Tomography (CT) reduces lung cancer 5-year mortality by about 20% in comparison to annual screening with chest radiography. However, the detection of pulmonary nodules in low-dose chest CT scans is a very difficult task for radiologists, because of the large number (300/500) of slices to be analyzed. In order to suppor

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18

Jeon, Woojay. "Pitch detection of polyphonic music using constrained optimization." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15802.

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19

Breuninger, Marianne [Verfasser], Klaus [Akademischer Betreuer] Reither, and Dirk [Akademischer Betreuer] Wagner. "Diagnostic accuracy of computer-aided detection and a scoring system for pulmonary tuberculosis in chest radiographs : a validation study from Sub-Saharan Africa." Freiburg : Universität, 2016. http://d-nb.info/1122830653/34.

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曾偉明 and Wai-ming Peter Tsang. "Computer aided ultrasonic flaw detection and characterization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1987. http://hub.hku.hk/bib/B31231007.

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Tsang, Wai-ming Peter. "Computer aided ultrasonic flaw detection and characterization /." [Hong Kong : University of Hong Kong], 1987. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12344928.

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22

Pendlebury, J. "A computer-aided timetabling system." Thesis, Lancaster University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277233.

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23

Donnelley, Martin, and martin donnelley@gmail com. "Computer Aided Long-Bone Segmentation and Fracture Detection." Flinders University. Engineering, 2008. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20080115.222927.

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Medical imaging has advanced at a tremendous rate since x-rays were discovered in 1895. Today, x-ray machines produce extremely high-quality images for radiologists to interpret. However, the methods of interpretation have only recently begun to be augmented by advances in computer technology. Computer aided diagnosis (CAD) systems that guide healthcare professionals to making the correct diagnosis are slowly becoming more prevalent throughout the medical field. Bone fractures are a relatively common occurrence. In most developed countries the number of fractures associated with age-related b

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Bornefalk, Hans. "Computer-aided detection and novel mammography imaging techniques." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3861.

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25

Byzewski, John Michael. "CAVES - Computer-aided Vehicle Embarkation System." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/21185.

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In this thesis the two-dimensional vehicle loading problem is considered: that is, the problem of loading a rectangular deck of size L by W of a ship, drawing from a set of n vehicles. The objective is to maximize the area covered on the deck by the vehicles loaded. A heuristic algorithm is employed to solve the two-dimensional loading problem. A computer-aided vehicle embarkation system (CAVES) is developed using a menu driven micro-computer program designed to assist embarkation personnel to load vehicles on board a ship. CAVES provides the Embarkation Officer the flexibility and portability

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Chun-Kit, Kwong. "A computer-aided concurrent design system." Thesis, University of Warwick, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263309.

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27

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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Llaquet, Bayo Antai. "Computer aided renal calculi detection using Convolutional Neural Networks." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-52254.

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In this thesis a novel approach is developed to detect urethral stones based on a computer-aided process. The input data is a CT scan from the patient, which is a high-resolution 3D grayscale image. The algorithm developed extracts the regions that might be stones, based on the intensity values of the pixels in the CT scan. This process includes a binarizing process of the image, finding the connected components of the resulting binary image and calculating the centroid of each of the components selected. The regions that are suspected to be stones are used as input of a CNN, a modified versio

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Guo, Yanhui. "Computer-Aided Detection of Breast Cancer Using Ultrasound Images." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/635.

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Ultrasound imaging suffers from severe speckle noise. We propose a novel approach for speckle reduction using 2D homogeneity and directional average filters to remove speckle noise. We transform speckle noise into additive noise using a logarithm transformation. Texture information is employed to describe the speckle characteristics of the image. The homogeneity value is defined using texture information value, and the ultrasound image is transformed into a homogeneity domain from the gray domain. If the homogeneity value is high, the region is homogenous and has less speckle noise. Otherwise,

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Li, Pok Ho Michael. "Graphical system input for computer aided control system design." Thesis, University of Salford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305963.

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Magill, W. R. "A generative Computer Aided Process Planning system." Thesis, University of Newcastle Upon Tyne, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328585.

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Kitano, Akira. "A prototype computer-aided assembly planning system." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14059.

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Nakamura, Takatoshi. "A computer-aided system for space welding." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/38350.

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Huang, GongWen 1948. "Computer aided model structuring in system design." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276903.

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As a CAD tool, the Computer Aided Model Structuring System (call MOSTS in the following text) for model structuring in system design and system simulation has been designed and implemented. First, this MOSTS allows system design experts to create and save System Data Bases (SDBs) for model structuring in system design and simulation. Then, these SDBs can be retrieved, modified, and finally used to structure system models by design engineers. The MOSTS pursues the model structuring process in such a way that the model structure having the best performance (according to the expert's knowledge an

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Agarwal, Richa. "Computer aided detection for breast lesion in ultrasound and mammography." Doctoral thesis, Universitat de Girona, 2019. http://hdl.handle.net/10803/670295.

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In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less robust application process. Currently, with the advancements in technologies, it is possible to perform 3D imaging and also acquire high quality Full-Field Digital Mammogram (FFDM). Automated Breast Ultrasound (ABUS) has been proposed to produce a full 3D scan of the breast automatically with reduced operator dependency. When using ABUS, lesion segmentation and tracking changes over time are

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McLoughlin, Kirstin J. "Computer aided detection of microcalcification clusters in digital mammogram images." Thesis, University of Canterbury. Electrical and Computer Engineering, 2004. http://hdl.handle.net/10092/6536.

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Recent advancements in computer technology have ensured that early detection of breast cancer, via computer aided detection (CAD) schemes, has become a rapidly expanding field of research. There is a desire to improve the detection accuracy of breast cancer without increasing the number of falsely identified cancers. The CAD scheme considered here is intended to assist radiologists in the detection of micro calcification clusters, providing a real contribution to the mammography screening process. Factors that affect the detection accuracy of micro calcifications in digital mammograms include

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Ebrahimdoost, Yousef. "Computer aided detection of pulmonary embolism (PE) in CTA images." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/24027/.

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Pulmonary embolism (PE) is an obstruction within the pulmonary arterial tree and in the majority of cases arises from a thrombosis that has travelled to the lungs via the venous system. Pulmonary embolism (PE) is a fatal condition which affects all age groups and is the third most common cause of death in the US. Computed tomographic angiography (CTA) imaging has recently emerged as an accurate method in the diagnosis of pulmonary embolism. Each CTA scan contains hundreds of CT images, so the accuracy and efficiency of interpreting such a large image data set is complicated due to various PE l

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Huang, Po-Ying, and 黃薄迎. "Computer-Aided Detection System for Hepatic Carcinoma Computed Tomography Image." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/46382879025287572444.

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碩士<br>中國醫藥大學<br>臨床醫學研究所碩士班<br>100<br>Hepatic Carcinoma is the most common cancer disease among Taiwan population. With a good and healthy daily life planning, having a regularly health exam can also keep the disease away. Generally speaking, Computer Tomography is the most commonly used instrument in the diagnosis, and the most important part is to define the location and contour of liver tumor, in order to assist the radiologists in diagnosis and pretreatment evaluation. In this study, we develop a semi-automatic computer-aided detection system, which is able to achieve an objective and consi

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Wu, Meng-Ju, and 吳孟儒. "Computer-Aided Mammography Enhancement and Mass Detection System." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/55212305617778158020.

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碩士<br>國立清華大學<br>電機工程學系<br>89<br>This study focuses on how to enhance the suspicious regions in the mammography and circumscribe the regions of interest (ROI) automatically. We introduce use of histogram equalization & contrast enhancement (HECE) algorithm and Difference of Gaussian (DoG) filter to enhance the suspicious masses and micro-calcifications. The DoG filter and Bezier curve are then used to find the boundary of breast in the mammography, which can provide useful orientation information to doctors during diagnosing the mammograms. Methods using self-organization map (SOM) neural netwo

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Chen, Yi-Wen, and 陳逸雯. "Computer-aided Diagnosis System for Lung Nodule Detection." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/72120452100264863240.

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碩士<br>中原大學<br>醫學工程研究所<br>90<br>In radiology, it''s quite difficult to make a preliminary diagnosis of lung cancer by using a chest X-ray image. When an uncertainly abnormal tissue occurred in X-ray image, some advanced tests, such as CT, MRI, bronchotomy , or microtomy , will be made for more detailed diagnosis. The aim of this study was to develop an algorithm applying in detecting lung nodules on chest radiological image, and mark possible region of suspicious nodules for doctor''s diagnosis. The detecting method was based on difference image. At first, we selected a threshold for all image

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Chan, Te-Hsin, and 詹德信. "A Computer-aided Diagnostic System for Fatty Liver Detection." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/71700874261051594876.

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碩士<br>雲林科技大學<br>工業工程與管理研究所碩士班<br>96<br>With the change of society, many people nowadays generally have overweight problems and some of them suffer from fatty liver symptoms. The symptoms often cause incorrect results from liver function checking, which leads to wrong prescription and delay in treatment. Fatty liver is defined as that fat contents in liver cells are higher than 5 percent, and it can be generated from many causes - such as alcoholism, obesity, abnormal fat metabolism, rapid weight loss and malnutrition. In the past, fatty liver symptoms were mostly examined by performing a

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許正元. "A Computer Aided Diagnosis System for Proximal Caries Detection." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/03930858004141532666.

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碩士<br>中華大學<br>電機工程學研究所<br>86<br>Proximal dental caries detection is a clinical challenge. Among various caries examinations, proxial caries are easily missed in physical examinations, whichare the most frequently used method. Radiological examination is considerde by many as th most accurate and practical proximal caries examination method. However, sensitivity and specificity of proximal caries detection on radiographs have been demonstrated to vay srignificantlh among different observers. Experienced oral radiologists and dentists can accurately detect more proximal caries, but these trained

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Gan, Jing-Guo, and 甘靖國. "Development of Computer-aided Detection System for Hemorrhagic Stroke." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/83843300413361057201.

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碩士<br>中原大學<br>生物醫學工程研究所<br>100<br>Physicians observe the changes on computed tomography of hemorrhagic stroke, and estimate the values of brain midline shift, bleeding volume, and edema volume as a diagnostic basis. Therefore, the purpose of this study is to develop a hemorrhagic stroke computer-aided detection system to quantify these three values, including values of brain midline shift, bleeding volume and edema volume. At first, use single slice, to remove the noise and skull stripping by median filter and region growing. Secondly, detect the brain tissue’s shift axis by detect the ventr

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Chuang, Kai-Chun, and 莊凱鈞. "The Integration of Computer-Aided Detection System of Digital Mammography Image." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/kx87f9.

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碩士<br>中原大學<br>生物醫學工程研究所<br>105<br>Breast cancer is one of the top ten causes of death, the mass, micro-calcification and architectural distortion (AD) are important early symptoms of breast cancer occurred, but it can be ignored easily. The aim of this project is to integration of CAD system for digital mammography for breast detection. The system provided the mass location detection, the micro-calcification location detection and the architectural distortion location detection and provided classification function. The Otsu’s method was used to find the best threshold to remove the background

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Hsieh, Kuan-Yu, and 謝冠宇. "Automatic Mediastinal Lymph Node Computer-aided Detection System in Chest CT." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28385362800471174861.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>101<br>Computed tomography (CT) plays an important role in the assessment of involvement of mediastinal lymph nodes for cancer staging. In the present clinical workflow, the radiologists need to examine all the slice of a CT scan manually for finding the enlarged lymph nodes which are possibly abnormal and this process is time-consuming and error-prone. Hence, in this study, a fully automatic system for detecting enlarged mediastinal lymph node in CT is proposed. First, two blob detectors are utilized for detecting the possible centers of lymph nodes following by a

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DU, YE-MING, and 杜業明. "Development of Computer Aided Detection System for Emphysema in Native People." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8avz78.

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碩士<br>中原大學<br>生物醫學工程研究所<br>107<br>Currently, pulmonary function examination (PFE) is standard for diagnosis of emphysema, but exist many deficiencies. With the advent of multi-slice technology, CT images are more convenient and accurate, can reflect morphological lesions and physiological changes. How to use low-dose lung CT (LDLCT) scan to evaluate and classify the presence or absence of emphysema disease is a question worth to study. In this study, a low dose CT lung cancer screening system is developed based on image processing methods. By capture and bilevel DICOM formatted lung CT image,

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Chiang, Kuo-Hsien, and 江國賢. "Computer Aided Detection System of Vertebral Metastasis in Patients of Breast Cancer Using Computed Tomography Images." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/01752974014938908725.

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碩士<br>慈濟大學<br>醫學資訊學系碩士班<br>99<br>Bone metastases are commonly diagnosed in patients with advanced breast cancer, especially in vertebrae. Bone metastases can appear lytic, blastic, or anywhere in a continuum between these extremes. The presence or absence of bone metastases is a critical issue in the initial staging and follow-up of breast cancer because it can directly alter the therapeutic strategy. In this paper, we aim to developing a computer-aided diagnosis system for the detection of metastasis in vertebrae at whole body CT. We developed an automated method to extract ROIs of trabecular

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Wu, Sophia Ina, and 吳伊娜. "Real Time Computer Aided Detection System for the Prediction of Clinical Antidepressant Responses." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bztjg8.

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碩士<br>國立臺灣大學<br>生醫電子與資訊學研究所<br>105<br>Major depressive disorder (MDD) is increasingly to be recognized as a chronic, deteriorating illness with the high risk to obtain comorbidity. In order to provide clinicians with a subjective approach to decide appropriate treatments for MDD patients, a real time automatic detection system for predicting the antidepressant responses is of important. Wavelet Transform and nonlinear methods - Largest Lyapunov Exponent (LLE), Detrended Fluctuation Analysis (DFA), Fractal Dimension (FD), Correlation Dimension (CD) and Approximate Entropy (ApEn) were applied to

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Huang, Bo-Kai, and 黃柏凱. "The Development of Computer-Aided Detection System for Alzheimer''s Disease." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/22661939722750684762.

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碩士<br>中原大學<br>生物醫學工程研究所<br>104<br>It has been predicted by the Taiwan Alzheimer Disease Association that the amount of people suffering from Alzheimer’s will increase from 2%, in 2031, to 3%, in 2041. Current drug treatments for Alzheimer’s disease (AD) aim to retain cognitive function as well as delay disease progression, and the sooner the treatment is started the greater the effectiveness. We can assess the level of AD by Clinical Dementia Rating (CDR) and obtain the brain atrophy ratio via MRI and CT imaging. However, the manual assessment of the brain atrophy ratio is not objective and ti

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Hsu, Yu-Han, and 許喻涵. "The Development of Computer-Aided Detection System for Alzheimer''s Disease." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9kc852.

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碩士<br>中原大學<br>生物醫學工程研究所<br>106<br>According to the prediction of the Taiwan Alzheimer Disease Association, over 2% and 3% people will suffer to Alzheimer disease in 2017 and 2061 respectively. The earlier medical treatment of Alzheimer Disease (AD), the better for control AD and its disease progress. In clinical, it is too late after assess the level of AD by Clinical Dementia Rating (CDR). The method to get the ventricles and brain ratio in CT is a better choice. However, the assessment of brain atrophy ratio is not objective and time-consuming manually. An automatic system can provide the ve

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