Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images
M. I. U. Haque, D. Mukherjee, S. A. Stopka, N. Agar, J. Hinkle, O. Ovchinnikova
This paper develops a deep learning system that combines H&E staining and MALDI imaging to predict prostate cancer from tissue images with 80% accuracy.
bioRxiv · May 11, 2022Cancer Biology