Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …

Pressure ulcers are significant healthcare concerns affecting millions of people worldwide,
particularly those with limited mobility. Early detection and classification of pressure ulcers …

Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

(1) Background: Colon polyps are common protrusions in the colon's lumen, with potential
risks of developing colorectal cancer. Early detection and intervention of these polyps are …

Over 15 million colonoscopies were performed yearly in North America, during which
biopsies were taken for pathological examination to identify abnormalities. Distinguishing …

Artificial Intelligence (AI) is revolutionizing healthcare by transforming disease identification,
treatment, and management. Healthcare organizations are rapidly adopting AI technologies …

The prevalence of colorectal cancer, primarily emerging from polyps, underscores the
importance of their early detection in colonoscopy images. Due to the inherent complexity …

Background Colorectal cancer (CRC) is the third most common cancer in the world and has
a high mortality rate. Colorectal adenoma (CRA) is precancerous lesions of CRC. The …

The significant challenge in detecting polyps in wireless capsule endoscopy and
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …