Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning

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.

Classification Transfer Learning

Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets

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.

F1 Score Transfer Learning