Datasets of Wireless Capsule Endoscopy for AI-Enabled Techniques

Abstract

High-quality, open-access and free wireless capsule endoscopy (WCE) data act as a catalyst for on-going state-of-the-art (SOTA) Artificial Intelligence (AI) research works in management of various gastro-intestinal tract related diseases such as Crohn’s disease, colorectal cancer, gastro-intestinal (GI) bleeding, motility disorders, celiac disease, inflammation, polyps, and hookworms etc. This paper presents widely used, open and downloadable WCE datasets to perform various AI-enabled techniques like video summarization, segmentation, disease detection, classification and prediction. A brief comparison and discussion of open and private WCE datasets has also been done. Such WCE datasets will help in development and evaluation of AI powered, computer-aided system for different anomalies in gastroenterology.