no code implementations • 21 Sep 2020 • Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken
This paper identifies a variety of components that increase the performance of CNN-based algorithms for COVID-19 grading from CT images.
no code implementations • 17 Mar 2020 • Cheryl Sital, Tom Brosch, Dominique Tio, Alexander Raaijmakers, Jürgen Weese
The proposed learning strategies improved results in $75\%$ of the experiments compared to training from scratch and increased the dice score by up to $0. 040$ and $0. 024$ for a ratio of unlabeled to labeled training data of about $32 : 1$ and $12. 5 : 1$, respectively.