Automated data-driven on-line detection and characterization of endoscopic lesions using deep learning KU Leuven
The screening for colorectal cancer during a colonoscopy involves the detection of polyps and subsequently characterizing them in order to determine the required action. Based on the type of polyp, the endoscopist will decide whether to resect or not, whether histopathological analysis is needed or not and if future surveillance colonoscopies are needed. Due to the high polyp miss rate and difficult differentiation of polyp histology, an ...