Increasing demands for artificial intelligence tools in the medical sector show the huge
interest of physicians. In recent years, one of the most effective assistant systems in this field …

Colorectal polyps are abnormal tissues growing on the intima of the colon or rectum with a
high risk of developing into colorectal cancer, the third leading cause of cancer death …

Background and study aims Several computer-assisted polyp detection systems have been
proposed, but they have various limitations, from utilizing outdated neural network …

Colorectal cancer is one of the most frequent malignancies. Colonoscopy is the de facto
standard for precancerous lesion detection in the colon, ie, polyps, during screening studies …

Colonoscopy is currently the most effective screening method to find precancerous colon
polyps and plan their removal. Computer-aided polyp detection can reduce polyp miss …

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …

In this chapter, we propose and analyze a system that can automatically detect, localize and
classify polyps from colonoscopy videos. The detection of frames with polyps is formulated …

Background Over the last years, the most relevant results in the context of polyp detection
were achieved through deep learning techniques. However, the most common obstacles in …

Colorectal cancer is one of the main causes of cancer death worldwide. Early detection of its
precursor lesion, the polyp, is key to ensure patient survival. Despite its gold standard status …

Purpose Validation metrics are a key prerequisite for the reliable tracking of scientific
progress and for deciding on the potential clinical translation of methods. While recent …