Artificial Intelligence in Capsule Endoscopy

About this book

Fifteen chapters on how machine learning and deep learning are being applied to capsule endoscopy. Opening chapters explain AI basics, capsule types and the clinical indications, including obscure GI bleeding and Crohn's disease. The core chapters review AI detection of blood, ulcers and erosions, protruding lesions, vascular lesions and luminal content, followed by bowel cleansing, blockchain for data storage, magnetic capsules, virtual chromoendoscopy and colon capsule panendoscopy. Suited to endoscopists and researchers interested in automated small bowel and colon reading.