no code implementations • 14 Sep 2021 • Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
Our top-performing method achieves the AUC-ROC value of 90. 90\% compared to 84. 53\% using the previous approach with smaller input tiles.
no code implementations • 10 Sep 2021 • Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
In this work, we propose an end-to-end MB tumor classification and explore transfer learning with various input sizes and matching network dimensions.