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Overview of the proposed ML method to link histopathology to outcome (eg, BCR or OS). The signal processing pipeline takes as input the H&E and Ki-67 images and produces as output the risk score (eg, BCR) for a given patient. BCR, biochemical recurrence; CNN, convolutional neural network; CPH, Cox proportional hazards; H&E, hematoxylin and eosin; ML, machine learning; OS, overall survival; RF-QMI, Random Forest Quadratic Mutual Information.
