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

Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel +9 more
8/9/2024
cs.CV

No official code found. Best implementation: Sri-Karthik-Avala/Capsule-Challenge-2024 (3 stars, last commit 2024-12-18). 2 more below.

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.

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Code Implementations(3)

Sri-Karthik-Avala/Capsule-Challenge-2024Community100%
31Python, Jupyter NotebookOct 25, 20241 years ago
shreemitra/Capsule_Vision_Challenge_2024Community100%

Rank: 26 || Deep_Learners || Team Members: Bidisha Chakraborty & Shree Mitra || Capsule Vision Challenge 2024

00Python, Jupyter NotebookOct 25, 20241 years ago
attention-mechanismbiomedical-image-processingconvolutional-neural-networksdeep-learningdensenet+3 more
GirinChutia/Misahub-Capsule-Vision-2024-Solution-eAICommunity100%
00Shell, PythonOct 21, 20241 years ago

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Cite this paper

@article{handa2024capsule,
  title  = {Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy},
  author = {Palak Handa and Amirreza Mahbod and Florian Schwarzhans and Ramona Woitek and Nidhi Goel and Manas Dhir and Deepti Chhabra and Shreshtha Jha and Pallavi Sharma and Vijay Thakur and Simarpreet Singh Chawla and Deepak Gunjan and Jagadeesh Kakarla and Balasubramanian Raman},
  year   = {2024},
  eprint = {2408.04940},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.04940v3}
}

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