Challenge: Automatic Detection and Classification of Bleeding and Non-Bleeding frames in Wireless Capsule Endoscopy

Abstract: The aim of the Auto-WCEBleedGen challenge is to provide an opportunity for the development, testing and evaluation of Artificial Intelligence (AI) models for automatic detection and classification of bleeding and non-bleeding frames extracted from Wireless Capsule Endoscopy (WCE) videos. Auto-WCEBleedGen is first of its kind, consists of different training and test datasets and promotes the development of vendor-independent, interpretable, and generalized AI models. The training dataset consists of 2618 bleeding and non-bleeding WCE frames collected from multiple internet resources, datasets with a vast variety and types of gastrointestinal (GI) bleeding throughout the GI tract along with medically validated binary masks and bounding boxes in three formats (txt, XML and YOLO txt). The test dataset is an independently collected WCE data containing bleeding and non- bleeding frames of more than 30 patients suffering from acute, chronic and occult GI bleeding referred at Department of Gastroenterology and HNU, All India Institute of Medical Sciences, New Delhi, India. The challenge will take place in an online mode on virtual platform MISAHUB from 11 September to 15 October 2023.

Challenge e-registration closing date: 20 September 2023

Target Audience: B.Tech, M. Tech, Ph.D. students of all branches, years and industry professionals. Full details can be found at misahub.in

Registration Link: Click to register (starts on 15th August 2023)

Organising Members