Reproduce “NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A.M. Janssen, Kjersti Engan
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.