Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …

In recent times, deep learning has emerged as a great resource to help research in medical
sciences. A lot of work has been done with the help of computer science to expose and …

A prompt diagnosis of breast cancer in its earliest phases is necessary for effective
treatment. While Computer-Aided Diagnosis systems play a crucial role in automated …

Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …

Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …

The main objective of this paper is the development of an Algorithm for Boolean Breast
Cancer Classification based on 116 patients with results by testing blood along with physical …

Computer-aided diagnosis (CAD) systems play a vital role in modern research by effectively
minimizing both time and costs. These systems support healthcare professionals like …

Breast cancer is one of the leading causes of untimely deaths among women in various
countries across the world. This can be attributed to many factors including late detection …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …