Breast cancer is a common health problem in women, with one out of eight women dying
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …

The machine learning and artificial intelligence play a vital role to solve the challenging
issues in Clinical imaging. The machine learning and artificial intelligence ease the daily life …

Objective: The death rate of breast tumour is falling as there is progress in its research area.
However, it is the most common disease among women. It is a great challenge in designing …

Any disease is curable if it is diagnosed at the early stages with the help of a little human
effort. The disease breast cancer is the second leading cause of death among women after …

Mammography is a proven imaging modality for the screening of breast cancer that helps to
evaluate the existence of calcification, masses, tissue density, lump shape and edges …

Mammogram classification is a crucial and challenging problem, because it helps in early
diagnosis of breast cancer and supports radiologists in their decision to analyze similar …

In this paper, a novel framework of computer-aided diagnosis (CAD) system has been
presented for the classification of benign/malignant breast tissues. The properties of the …

Early diagnosis of breast cancer can improve the survival rate by detecting the cancer at
initial stage. Mammogram is a low dose X-ray image of the breast region, used to diagnose …

The lack of large and diverse training data on Computer-Aided Diagnosis (CAD) in breast
cancer detection has been one of the concerns that impedes the adoption of the system …

Breast cancer is an extremely aggressive cancer in women. Its abnormalities can be
observed in the form of masses, calcification and lumps. In order to reduce the mortality rate …