MetFinder: a neural network-based tool for automated quantitation of metastatic burden in histological sections from animal models
A. Karz, N. Coudray, E. Bayraktar, K. Galbraith, G. Jour, A. A. S. Shadaloey, N. Eskow, A. Rubanov, M. Navarro, R. Moubarak, G. Baptiste, G. Levinson, V. Mezzano, M. Alu, C. Loomis, , E. Hernando
MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.
bioRxiv · Sep 7, 2023 · PreprintCancer Biology