| CPC G06T 7/0012 (2013.01) [G06N 20/00 (2019.01); G06T 3/40 (2013.01); G06T 11/60 (2013.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 70/60 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 17 Claims |

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1. A computer-implemented method for analyzing an image of a slide corresponding to a specimen, the method comprising:
receiving at least one digitized image of a pathology specimen;
determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient feature comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type;
determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel;
representing the salient region overlay by a set of super-pixels associated with a score, the score being associated with the at least one salient feature being present or absent;
suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image; and
converting the salient region overlay into a tissue map.
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