3344

2933

كارشناسي ارشد

مخابرات

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1385

ده، 111، [ II ] ص.: مصور، جدول، نمودار

محمدرضا احمدزاده

سعيد صدري

فارسي به انگليسي

محمدعلي دوست حسيني، رسول امير فتاحي

1396/10/27

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID2933

به فارسي وانگليسي و قابل رؤيت در نسخه ديجيتال

Abstract Breast cancer is a leading cause of cancer deaths among women Early detection is the mosteffective way to reduce mortality Mammography is currently the best method for early detection An increasing number of countries have started mass screening programs that have resulted in alarge increase in the number of mammograms requiring interpretation In the interpretation process radiologists carefully search each image for any visual sign of abnormality However abnormalitiesare often embedded in and camouflaged by varying densities of breast tissue structures Indeed estimates indicate that 10 to 30 percent of breast cancers are missed by radiologists during routinescreening Limitation in the number of radiologists and large number of mammograms have causedthe interpretation of mammograms costly time consuming and even incorrect Furthermore thesensitivity of man s eye decreases by increasing the number of images So it is needed to designautomatic system for breast cancer diagnosis at the first level In computer aided diagnosis ondigital mammograms some pre processing like breast contour extraction and pectoral musclesegmentation are performed to limit the region of interest Then the main processing is done inorder to detect suspicious details on mammograms Some new methods for extracting breastcontour segmentation of pectoral muscle enhancement of mammogram in order to detectmicrocalcifications and detecting tumor and architectural disorders are introduced in this report Results verify the performance of these methods

محمدرضا احمدزاده

سعيد صدري

محمدعلي دوست حسيني، رسول امير فتاحي