Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …

In the domain of computer technology, image processing strategies have become a part of
various applications. A few broadly used image segmentation methods have been …

Mammography is considered a significant image for accurate breast cancer detection.
Content-based image retrieval (CBIR) contributes to classifying the query mammography …

The current approaches for image retrieval are more concentrating on numerous image
features. Texture, shape, spatial information, and color are the fundamental features to deal …

Ultrasound is a well-known imaging modality for the interpretation of breast cancer. It is
playing very important role for breast cancer detection that are missed by mammograms …

Breast cancer is increasing rapidly in women these days. It is diagnosed after the symptoms
appear. The detection at an initial stage and the procedure of the treatment are the most …

The purpose of this work is to develop a computer‐aided diagnosis (CAD) system to assist
radiologists in the classification of mammogram images. The CAD system is composed of …

Background Mammography for the diagnosis of early breast cancer (BC) relies heavily on
the identification of breast masses. However, in the early stages, it might be challenging to …

Early diagnosis of breast cancer can improve the survival rate by detecting cancer at initial
stage. In this paper, an efficient content-based mammogram retrieval system is proposed …

In this paper, automated, fast and effective content based-mammogram image retrieval
system is proposed. The proposed pre-processing steps include automatic labelling …