HierTAC-Net: a robust and explainable hierarchical attention network for multi-configuration gastrointestinal endoscopic image classification
Colorectal cancer is a leading cause of cancer death worldwide, even though colonoscopy is an effective screening tool. Automated analysis of endoscopic images can help doctors find more lesions and make faster decisions, but current systems usually handle just one task, are tested on clear images from a single dataset...