Digital mammography and accelerated diagnosis of breast cancer
عنوان مقاله: Digital mammography and accelerated diagnosis of breast cancer
شناسه ملی مقاله: CARSE05_120
منتشر شده در پنجمین کنفرانس بین المللی پژوهش های کاربردی در علوم و مهندسی در سال 1399
شناسه ملی مقاله: CARSE05_120
منتشر شده در پنجمین کنفرانس بین المللی پژوهش های کاربردی در علوم و مهندسی در سال 1399
مشخصات نویسندگان مقاله:
Toktam Rahimi - Student of Medicine and General Surgery, University of Sapintra, Rome, Italy
mitra shateri - Student of Dentist, University of PADOVA, Italy
Ciro borriello - Italian physician and surgeon, BARI, Italy
Anis Rahimi - Anesthesiologist, Shahid Beheshti University
خلاصه مقاله:
Toktam Rahimi - Student of Medicine and General Surgery, University of Sapintra, Rome, Italy
mitra shateri - Student of Dentist, University of PADOVA, Italy
Ciro borriello - Italian physician and surgeon, BARI, Italy
Anis Rahimi - Anesthesiologist, Shahid Beheshti University
This paper discusses an approach for automatic detection of abnormalities in the mammograms. Image processing techniques have been applied to accurately segment the suspicious region-of-interest (ROI) prior to abnormality detection. Unsharp masking has been applied for enhancement of the mammogram. Noise removal has been done by using median filtering. Discrete wavelet transform has been applied on filtered image to get the accurate result prior to segmentation. Suspicious ROI has been segmented using the fuzzy- C-means with thresholding technique. Tamura features, shape based features and moment invariants are extracted from the segmented ROI to detect the abnormalities in the mammograms. Proposed algorithm has been validated on the Mini-MIAS data set.
کلمات کلیدی: Unsharp masking, Median filtering, fuzzy-cmeans, discrete wavelet transform
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1128467/