SYSTEMS AND METHODS FOR PROCESSING IMAGES TO CLASSIFY THE PROCESSED IMAGES FOR DIGITAL PATHOLOGY

Abstract: systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.

Inventor(s): Supriya KAPUR, Christopher KANAN, Thomas FUCHS, Leo GRADY

CPC Classification: G06N5/04 (Inference or reasoning models)

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