Colorectal cancer is the third leading cause of cancer-related deaths worldwide. The localised stage of colon/rectal cancer has a high 5-year survival rate (91%/90% ...

Researchers have developed a pair of modules that gives a boost to the use of artificial neural networks to identify potentially cancerous growths in colonoscopy imagery, traditionally plagued by ...

Deep learning has improved colonoscopy image analysis in recent years, catching colorectal growths before they can spread. The approach still suffers from image noise that reduces accuracy however, ...

Over the past decade, we have witnessed the rapid advancement of the Convolutional Neural Network (CNN). Nowadays, CNN has been widely applied for solving various problems in different domains, such ...