Deep learning-based segmentation and quantification of podocyte foot process morphology
L. Butt, D. Unnersjoe-Jess, M. Hoehne, G. Sergei, A. Witasp, A. Wernerson, J. Patrakka, P. F. Hoyer, H. Blom, B. Schermer, K. Bozek, T. Benzing
This paper develops a deep learning method to segment and quantify podocyte foot process morphology in kidney tissue, confirming morphological changes in disease states.
bioRxiv · Jun 14, 2021 · PreprintPathology