Early diagnosis is considered important for medical images of breast cancer, the rate of
recovery and safety of affected women can be improved. It is also assisting doctors in their …

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 …

Breast cancer is as one of the common reasons of deaths in women. To detect this cancer in
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …

Radiologists employ mammograms for the detection of breast cancer in patients, particularly
as breast cancer exhibits higher incidence rates in women. Early identification of breast …

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 …

The traditional annotation-based medical image retrieval faces a problem with competence
and precision with the extensive medical image databases. Broad research has been …

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

Objectives One of the primary causes of the women death is breast cancer. Accurate and
early breast cancer diagnosis plays an essential role in its treatment. Computer Aided …

The growing volume of medical imaging data presents significant challenges in terms of
storage, management, and utilization. Content-based medical image retrieval (CBMIR) …