CVAug 9, 2024

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

arXiv:2408.04940v321 citationsh-index: 43
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This addresses the need for standardized evaluation in medical imaging for gastroenterology, but it is incremental as it builds on existing challenge formats without introducing new methods.

The paper introduces the Capsule Vision 2024 Challenge, which tackles the problem of multi-class abnormality classification in video capsule endoscopy by organizing a competition to benchmark methods, resulting in rankings and results from participating teams.

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.

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