Predicting the chances of various types of cancers for different organs in the human body is
a typical decision-making process in medicine and health. The signaling pathways have …

The primary procedures for breast cancer diagnosis involve the assessment of
histopathological slide images by skilled patholo-gists. This procedure is prone to human …

In recent years, breast cancer, originating from breast tissue, has become one of the
significant global health challenges for women worldwide, with early detection crucial for …

Developing early breast cancer detection systems presents challenges, including long
processing times, extensive data preprocessing, and handling imbalanced datasets. Class …

Globally, breast cancer (BC) remains a significant cause to female mortality. Early detection
of BC plays an important role in reducing premature deaths. Various imaging techniques …

Globally, breast cancer is among the most prevalent and deadly tumors that affect women.
Early and accurate identification of breast cancer is essential for effective treatment planning …

Early breast cancer diagnosis is crucial for improving treatment outcomes for women.
Addressing class imbalance in breast cancer data is essential for enhancing detection …

Background: Anxiety among students has become a fairly major problem. In the current era,
Machine Learning (ML) can be used as a quick technology to predict students' anxiety with …

Abstract Breast Cancer Prediction (BCP) is a pivotal aspect of healthcare, and this research
paper delves into exploring diverse methodologies outlined in the literature. Recent trends …

Breast cancer has always been a disease that affects a lot of people. There is vast range of
factors that may lead to breast cancer and this makes it more difficult to detect at an early …