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

Autor:	Handa, Palak, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Chhabra, Deepti, Jha, Shreshtha, Dhir, Manas, Gunjan, Deepak, Kakarla, Jagadeesh, Raman, Balasubramanian
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 6 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.04940 Zobrazit plný text záznamu View this record from Arxiv