Paper accepted for the Workshop on AI-enabled 伟德国际_伟德国际1946$娱乐app游戏ical Image Analysis at European Conference on Computer Vision 2022_伟德国际_伟德国际1946$娱乐app游戏

Chair for Machine Learning & Computer Vision
2022-08-15T09:44:14+00:00
Universit?t Augsburg

The paper titled "COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings" by Daniel Kienzle, Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart is accepted at the Workshop on AI-enabled 伟德国际_伟德国际1946$娱乐app游戏ical Image Analysis at ECCV 2022. In this paper, the authors present how the ConvNeXt architecture can be leveraged for the classification of 3D-CT scans. Particularly, various transfer learning methods supporting the application on 3D medical data are explored. With the insights presented in this paper, the authors achieve the 2nd place in the 1st COVID19 Severity Detection Challenge and the 3rd place in the 2nd COVID19 Detection Challenge.