Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

arXiv:2403.02192v1 Announce Type: cross
Abstract: The paper presents the DEF-AI-MIA COV19D Competition, which is organized in the framework of the 'Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-AI-MIA)' Workshop of the 2024 Computer Vision and Pattern Recognition (CVPR) Conference. The Competition is the 4th in the series, following the first three Competitions held in the framework of ICCV 2021, ECCV 2022 and ICASSP 2023 International Conferences respectively. It includes two Challenges on: i) Covid-19 Detection and ii) …

3-d abstract analysis arxiv competition computer computer vision covid covid-19 cs.cv cvpr diagnosis domain domain adaptation eess.iv explainability fairness fairness in ai framework image medical paper pattern recognition recognition scans type vision workshop