Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
<|reference_start|>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 is being 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 describes the overview of the challenge, its registration and rules, submission format, and the description of the utilized datasets.<|reference_end|>
@article{handa2024capsule,
    title={Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification
  for Video Capsule Endoscopy},
    author={Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek,
  Nidhi Goel, Deepti Chhabra, Shreshtha Jha, Manas Dhir, Deepak Gunjan,
  Jagadeesh Kakarla, Balasubramanian Raman},
    journal={arXiv preprint arXiv:2408.04940},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.04940},
    primaryClass={cs.CV}
}