Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy

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, and M...

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Bibliographic Details
Published in:arXiv.org 2024-11
Main Authors: Handa, Palak, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Dhir, Manas, Chhabra, Deepti, Jha, Shreshtha, Sharma, Pallavi, Thakur, Vijay, Gunjan, Deepak, Jagadeesh Kakarla, Balasubramanian Raman
Format: Article
Language:English
Subjects:
Artificial intelligence
Classification
Computer vision
Image analysis
Image processing
Medical imaging
Medical research
Research facilities
Signal analysis
Video data
Online Access:Get full text
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Summary: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, and Medical Imaging and Signal Analysis Hub (MISAHUB) 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.
ISSN:2331-8422