Colonoscopy

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 image noise resulting from the colonoscopy insertion and rotation process itself. A paper describing the approach was published in the journal CAAI Artificial Intelligence Research on … Read more