Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …

Detection of colorectal polyps through colonoscopy is an essential practice in prevention of
colorectal cancers. However, the method itself is labor intensive and is subject to human …

Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in developing reliable computer aided detection and diagnosis …

Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …

Colonoscopy is the gold standard for examination and detection of colorectal polyps.
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst
most polyps are benign, the polyp's number, size and surface structure are linked to the risk …

Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using
surgical tools. Usually, the procedures and the treated or resected areas are not specifically …