Breast cancer continues to be among the leading causes of death for women and much
effort has been expended in the form of screening programs for prevention. Given the …

Breast cancer (BC) is the third leading cause of deaths in women globally. In general,
histopathology images are recommended for early diagnosis and detailed analysis for BC …

Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …

Breast cancer has now overtaken lung cancer as the world's most commonly diagnosed
cancer, with thousands of new cases per year. Early detection and classification of breast …

The real cause of breast cancer is very challenging to determine and therefore early
detection of the disease is necessary for reducing the death rate due to risks of breast …

Although successful detection of malignant tumors from histopathological images largely
depends on the long-term experience of radiologists, experts sometimes disagree with their …

Breast cancer (BC) classification has become a point of concern within the field of
biomedical informatics in the health care sector in recent years. This is because it is the …

A mammogram is an image of a breast used to detect and diagnose breast cancer. This
paper emphases a Computer‐Aided Detection system based on convolutional neural …

Convolutional Neural Network (CNN) models are a type of deep learning architecture
introduced to achieve the correct classification of breast cancer. This paper has a two-fold …

Breast cancer is an invasive tumor that develops in the breast tissue. It is the most common
cancer and also the leading cause of cancer mortality among women worldwide. Survival …