Systems and methods for processing electronic images of slides for a digital pathology workflow
AssigneePaige.AI, Inc.
InventorsDanielle Gorton, Patricia Raciti, Jillian Sue, Razik Yousfi
Life of this patent
Estimating the term…
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AssigneePaige.AI, Inc.
InventorsDanielle Gorton, Patricia Raciti, Jillian Sue, Razik Yousfi
Estimating the term…
A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.
A computer-implemented method for processing electronic images associated with a pathology specimen, the method comprising:
A system for using at least one machine learning model to process electronic images associated with a pathology specimen, the system comprising:
A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform a method of processing electronic images associated with a pathology specimen, the method comprising:
Dependencies are inferred from the claim text.