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 …

In the last two decades, improvement in artificial intelligence and medical imaging
technology have made healthcare sector to achieve some remarkable achievements in …

Timely diagnosis of brain tumors using MRI and its potential impact on patient survival are
critical issues addressed in this study. Traditional DL models often lack transparency …

The ability of Convolutional Neural Networks (CNNs) to accurately discriminate between
normal and tumorous brain tissues has been promising. The review focuses on the different …

Annually, many people worldwide lose their lives due to breast cancer, making it one of the
most prevalent cancers in the world. Since the disease is becoming more common, early …

Methods: This research compares traditional machine learning classification methods to
innovative techniques that use deep learning models. Established usual classification …

Brain tumors are serious health condition which need to be timely diagnosed and treated to
avoid undesirable happenings. Most cancer-related deaths worldwide are caused by brain …

Cancer in breast is the most prevalent disease discovered in women's breast cells, and it
can also lead to death. Early detection and diagnosis help to reduce this mortality rate …

----------------------------------------------------------------ABSTRACT----------------------------------------------
--------------Breast cancer is the main reason for mortality in women. It was very difficult to …