First Place in the STOIC Challenge: Prediction of COVID Severity with Convolutional Neural Networks
Daniel Kienzle, Julian Lorenz, Katja Ludwig, Robin Sch?n and Rainer Lienhart from the chair for Machine Learning and Computer Vision achieved the first place in the STOIC challenge. The goal of the challenge was to predict the severe outcome of COVID-19 one month ahead using CT scans. To this end, the researchers employed convolutional neural networks and transfer learning on various tasks. The challenge was organized by Assistance Publique – H?pitaux de Paris, Radboud 伟德国际_伟德国际1946$娱乐app游戏 伟德国际_伟德国际1946$娱乐app游戏ical Center, and Amazon Web Services.
