New AI modules boost polyp segmentation in colonoscopy imagery
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.
Source: news-medical.net