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Digital image analysis flowchart for classifiers development and utilization. (a) Preprocessing and classifiers training pipeline (KNN10, RT10, NN10, NN20, NN30, NN40 and NN50). (b) Application of TILs models. (c) Analytical evaluation of the classifiers on the Yale internal validation set. (d) Prognostic evaluation in an independent validation set. Note that the “trained classifier” applied in sub-figures b-d is the one created in a, in addition to HoverNet, CellViT and Abousamra's.
