Mars, Incorporated

Vladimir Fadeev

Mark Justin Parkinson

Michael Fitzke

Fernando Rodrigues, Jr

In one embodiment, the disclosure provides a method comprising: receiving an image of a biopsy slide; executing first programmed instructions to input the image to a first trained machine learning model programmed as a cancer classifier, thereby outputting a classification; determining, based on the classification, that the image should be further processed; executing a tissue detect ion algorithm on the image of the biopsy slide, thereby outputting a first set of coordinates; executing second programmed instructions to input the image of the biopsy slide and the first set of coordinates to a second trained machine learning model programmed for image segmentation, thereby outputting a binary pixel mask; executing third programmed instructions to generate an enhanced pixel mask using the binary pixel mask; and digitally storing, in computer memory, a second set of coordinates indicated by the enhanced pixel mask, in one embodiment, a 10-high-power field can be generated and digitally stored.

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Stupino, Russia

Vladimir Fadeev