Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer Prognostication
Z. Azher, A. Suvarna, J.-Q. Chen, Z. Zhang, B. Christensen, L. Salas, L. Vaickus, J. Levy
This study evaluates pretraining strategies in an interpretable multimodal deep learning framework for cancer prognosis, showing that pretraining improves performance over standard methods.
bioRxiv · Nov 21, 2022Pathology