Among cancers, breast cancer causes second most number of deaths in women. To reduce
the high number of unnecessary breast biopsies, several computer-aided diagnosis systems …

Breast cancer (BC) mostly develops on women breast region. Regular check ups are crucial
for early detection and treatment of this cancer type. Pathologist performs the diagnosis of …

This paper intends to an integrated view of implementing automated diagnostic systems for
breast cancer detection. The major objective of the paper is to be a guide for the readers …

This paper presents an automatic system for detection of breast cancer using data
preprocessing and Bayesian network. In this study, ReliefF algorithm is used for reducing …

Image processing techniques play an important role in the diagnostics and detection of
diseases and monitoring the patients having these diseases. Breast Cancer detection of …

According to the recent surveys, breast cancer has become one of the major causes of
mortality rate among women. Breast cancer can be defined as a group of rapidly growing …

Breast Cancer Diagnosis and Prognosis are two medical applications which have posed a
challenge to the researchers. The use of machine learning and data mining techniques has …

Breast cancer is one of the most dangerous cancer diseases for women in worldwide. A
Computeraided diagnosis system is very helpful for radiologist for diagnosing micro …

Artificial intelligence techniques and algorithms are applied at various fields such as face
recognition, self-driving cars, industrial robots and health care. These real-world …

Breast cancer is the most common reason for deaths due to cancer. It is very necessary to
detect cancer at early stages. There are various Machine Learning techniques available for …