Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning
D. Choudhury, J. Dolezal, E. Dyer, S. Kochanny, S. Ramesh, F. M. Howard, J. R. Margalus, A. Schroeder, J. J. Schulte, M. C. Garassino, J. N. Kather, A. T. Pearson
The paper validates a low-cost, open-source workstation and computational pipeline for automated histopathology evaluation using deep learning, showing comparable performance to expensive institutional hardware.
bioRxiv · Apr 19, 2023 · PreprintPathology