Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

In recent years, we witnessed a speeding development of deep learning in computer vision
fields like categorization, detection, and semantic segmentation. Within several years after …

Recently, research has shown an increased spread of non-communicable diseases such as
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …

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 is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …

Convolutional neural networks (CNNs) have enhanced ultrasound image-based early
breast cancer detection. Vision transformers (ViTs) have recently surpassed CNNs as the …

The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …

Breast cancer is now widely known to be the second most lethal disease among women.
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …

Breast cancer is a common health problem in women, with one out of eight women dying
from breast cancer. Many women ignore the need for breast cancer diagnosis as the …

Research in deep learning (DL) has continued to provide significant solutions to the
challenges of detecting breast cancer in digital images. Image preprocessing methods and …