Accurate Breast Contour Detection Algorithms in Digital Mammogram
نویسندگان
چکیده
منابع مشابه
Accurate Breast Contour Detection Algorithms in Digital Mammogram
Computer Aided Diagnosis (CAD) systems have improved diagnosis of abnormalities in mammogram images. The principal feature within the breast region is the breast contour. Extraction of the breast region and delineation of the breast contour allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. After performing...
متن کاملAutomatic Breast Contour Detection in Digital Photographs
Breast cancer conservative treatment (BCCT), due to its proven oncological safety, is considered, when feasible, the gold standard of breast cancer treatment. However, aesthetic results are heterogeneous and difficult to evaluate in a standardized way, due to the lack of reproducibility of the subjective methods usually applied. The objective assessment methods, considered in the past as being ...
متن کاملBreast Boundary Detection in Mammogram Using Entropy
In this paper we present the novel technique for detection of breast boundary (also known as Breast contour, breast edge, skin-air interface or also called skin-line). Breast boundary extraction is an important preprocessing step in Computer Assisted Diagnosis (CAD) systems. The Breast boundary region detection is a tough task because low contrast region near skin line(boundary). The proposed m...
متن کاملBreast cancer diagnosis in digital mammogram using multiscale curvelet transform
This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. After decomposing the mammogram images in curvelet basis, a special set of the biggest coefficients is extracted as feature vector. The Euclidean distance is then used to construct a supervised classifier. The experimental results gave a 98.59% classification accuracy rate, which indicate ...
متن کاملDetection of Breast Micro Calcification in Digital Mammogram Using Image Processing Techniques
Micro calcification in digital mammogram are an important early sign of breast cancer and their early detection is very important to improve its diagnosis. Computerbased detection system can assist the radiologist to improve the diagnostic accuracy. Digital Mammogram is the low cost and effective for early detection of masses or abnormalities which related to the high risk factor of breast canc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3031-4109