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Title: A multidisciplinary approach to the development of a cad system for the detection and classification of abnormalities in medical images
Researcher: Gowri, Shankar C
Guide(s): Shanmugam, A
Keywords: Abnormalities
Cad System
Medical Images
Upload Date: 22-Aug-2014
University: Anna University
Completed Date: n.d.
Abstract: The advancement in medical computer vision increases the newlineattention among various researchers to work in the field of medical image newlineprocessing The medical imaging community is now able to deal with the newlineentire human body using appropriate imaging systems It has offered facility newlineto look into the pathologies that are not fully understood till date Medical newlineImage Processing is an emerging area that helps the medical practitioners in newlinediagnosis and surgery planning Consequently increased emphasis on newlinedeveloping efficient methods to present the medical information has become a newlinemajor thrust area of research in the field of image processing newlineCancers are the leading cause of death among men and women in newlinethe world Breast Cancer is the most common and deadly of all cancers newlineamong women The brain cancer is extremely serious and lifethreatening newlinebecause of its invasive and penetrative nature in the intracranial cavity newlineFurthermore existing diagnostic tests to evaluate breast and brain cancer are newlineinsufficient to analyze and interpret the data It is most required to provide newlineradiologists with tools to characterize the abnormalities accurately and to newlinehandle large data sets A large number of medical images collected over years newlinealong with related medical diagnosis helps to build a model to classify future newlinecases and assists radiologists in reporting newlineMammography is the powerful imaging technique used for early newlinedetection of breast cancer Masses calcifications skin thickening and newlinedistortion are the important features observed from the mammogram newlineComputed Tomography CT and Magnetic Resonance Imaging MRI are newlinethe two most advanced radiological techniques frequently used to identify the newlineabnormalities present in the brain The existence of noise degrades the newlinesubjective quality of image and makes the decision incorrect A wide variety newlineof filtering algorithms have been developed for preprocessing newlineComputer Aided Diagnosis CAD system newlinefor the detection and classification of abnormalities in medical images have newlinebeen developed newline newline
Pagination: xviii,201p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File188.12 kBAdobe PDFView/Open
02_certificate.pdf816.78 kBAdobe PDFView/Open
03_abstract.pdf55.66 kBAdobe PDFView/Open
04_acknowledgement.pdf60.8 kBAdobe PDFView/Open
05_contents.pdf172.83 kBAdobe PDFView/Open
06_chapter 1.pdf233.99 kBAdobe PDFView/Open
07_chapter 2.pdf811.61 kBAdobe PDFView/Open
08_chapter 3.pdf7.6 MBAdobe PDFView/Open
09_chapter 4.pdf3.25 MBAdobe PDFView/Open
10_chapter 5.pdf1.2 MBAdobe PDFView/Open
11_chapter 6.pdf77.73 kBAdobe PDFView/Open
12_references.pdf174.49 kBAdobe PDFView/Open
13_publications.pdf97.01 kBAdobe PDFView/Open
14_vitae.pdf52.78 kBAdobe PDFView/Open

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