Breast cancer is the most common cancer among women globally and presents a significant
challenge due to its rising incidence and fatality rates. Factors such as cultural …

Breast cancer, a leading cause of female mortality worldwide, poses a significant health
challenge. Recent advancements in deep learning techniques have revolutionized breast …

RGB-thermal (RGB-T) dual-modal imaging significantly broadens the observation
dimensions of the vision system. However, effectively harnessing the inherent advantages of …

Medical image classification and detection using artificial intelligence (AI) can help enhance
medical care services. Unfortunately, most medical image modalities suffer from some noise …

In medical image segmentation task, convolutional neural networks (CNNs) are difficult to
capture long-range dependencies, but transformers can model the long-range …

Breast cancer (BC) is the most widespread tumor in females worldwide and is a severe
public health issue. BC is the leading reason of death affecting females between the ages of …

The ongoing global pandemic has underscored the importance of rapid and reliable
identification of COVID-19 cases to enable effective disease management and control …

Introduction Breast cancer (BC) has been one of the main reasons for women's deaths in the
recent decade. This study hypothesizes that the deep features resulting from mammography …

Left ventricle (LV) segmentation is essential to identify the cardiac functions for treating
cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non …

Breast cancer has become a global health problem, ranking first in incidences and fifth in
mortality in women around the world. In Mexico, the first cause of death in women is breast …