ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging
S. Sultan, M. A. J. Gorris, E. Martynova, L. L. van der Woude, F. Buytenhuijs, S. van Wilpe, K. Verrijp, C. G. Figdor, I. J. M. de Vries, J. Textor
ImmuNet is a machine learning pipeline that identifies cell positions and phenotypes in multiplex imaging without segmentation, outperforming segmentation-based methods with error rates below 5-10%.
bioRxiv · Oct 22, 2021Immunology