ASSESSING HETEROGENEITY OF FEATURES IN DIGITAL PATHOLOGY IMAGES USING MACHINE LEARNING TECHNIQUES

In one embodiment, a method includes, receiving a digital pathology image of a tissue sample and subdividing the digital pathology image into a plural in of patches. For each patch of the plurality of patches, the method includes identify an image feature detected in the patch and generating one or more labels corresponding to the image feature identified in the patch using a machine-learning model. The method includes determining, based on the generated labels, a heterogeneity metric for the tissue sample. The method includes generating an assessment of the tissue sample based on the heterogeneity metric.