Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

Breast cancer is one of the worst illnesses, with a higher fatality rate among women globally.
Breast cancer detection needs accurate mammography interpretation and analysis, which is …

Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Simple Summary Diagnosing breast cancer masses and calcification clusters is crucial in
mammography, which reduces disease consequences and initiates treatment at an early …

One of the leading algorithms and architectures in deep learning is Convolution Neural
Network (CNN). It represents a unique method for image processing, object detection, and …

Abstract Background and objective Deep Learning models have emerged as a significant
tool in generating efficient solutions for complex problems including cancer detection, as …

Female breast cancer has now surpassed lung cancer as the most common form of cancer
globally. Although several methods exist for breast cancer detection and diagnosis …

Objectives Breast cancer is a common but deadly disease among women. Medical imaging
is an effective method to diagnose breast cancer, but manual image screening is time …

Early accurate mammography screening and diagnosis can reduce the mortality of breast
cancer. Although CNN-based breast cancer computer-aided diagnosis (CAD) systems have …

In medical imaging, the effective detection and classification of Breast Cancer (BC) is a
current research important task because of the still existing difficulty to distinguish …