Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
Year: 2024
Type: preprint
Abstract: We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It was virtually organized by the Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Austria in collaboration with the 9th International Conference on Computer Vision & Image Processing (CVIP 2024) being organized by the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, Chennai, India. This document provides an overview of the challenge, including the registration process, rules, submission format, description of the datasets used, qualified team rankings, all team descriptions, and the benchmarking results reported by the organizers.
Source: arXiv (Cornell University)
Authors: Handa, Palak, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Dhir, Manas, Chhabra, Deepti, Jha, Shreshtha, Sharma, Pallavi, Thakur, Vijay, Chawla, Simarpreet Singh, Gunjan, Deepak, Kakarla, Jagadeesh, Raman, Balasubramanian
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6910680503