Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …

Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …

The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

Breast cancer is main reason for mortality in woman. Prediction of breast cancer is a
challenging task in medical data analysis. Doctors and pathologist required some …

Breast cancer is a disease in which the cells of the breast develop unnaturally and
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …

This study aims to develop an efficient and accurate breast cancer classification model using
meta-learning approaches and multiple convolutional neural networks. This Breast …

Breast cancer is a complicated and diverse illness that affects millions of women worldwide.
A correct diagnosis and early detection are essential for effective therapy and better patient …

Breast cancer is the most common cancer in women, and the breast mass recognition model
can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image …

Breast cancer is one of the most prevalent cancers in women. In recent years, many studies
have been conducted in the breast cancer domain. Previous studies have confirmed that …

Breast cancer continues to be one of the foremost illnesses that results in the deaths of
numerous women each year. Among the female population, approximately 8% are …