Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …

This work aims to implement an automated data-driven model for breast cancer detection in
mammograms to support physicians' decision process within a breast cancer screening or …

Breast cancer exhibits one of the highest incidence and mortality rates among all cancers
affecting women. The early detection of breast cancer reduces mortality and is crucial for …

Traditional methods of diagnosing breast cancer (BC) suffer from human errors, are less
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …

Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …

Breast cancer, with its high mortality, faces diagnostic challenges due to variability in
mammography quality and breast densities, leading to inconsistencies in radiological …

Breast cancer, which attacks the glandular epithelium of the breast, is the second most
common kind of cancer in women after lung cancer, and it affects a significant number of …

Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …

Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …

Early detection of breast cancer is an essential procedure to reduce the mortality rate among
women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called …