Predicting Primary Site of Secondary Liver Cancer with a Neural Estimator of Metastatic Origin (NEMO)
G. F. Schau, E. A. Burlingame, G. Thibault, T. Anekpuritanang, Y. Wang, J. W. Gray, C. Corless, Y. H. Chang
The paper introduces a deep learning model to predict the metastatic origin of secondary liver cancer from H&E stained tissue sections, achieving 90.2% accuracy comparable to expert pathologists.
bioRxiv · Jul 2, 2019Cancer Biology