US 12,217,423 B2
Systems and methods for processing electronic images to detect contamination in specimen preparations
Patricia Raciti, New York, NY (US); Christopher Kanan, Pittsford, NY (US); Thomas Fuchs, New York, NY (US); and Leo Grady, Darien, CT (US)
Assigned to Paige.AI, Inc., New York, NY (US)
Filed by PAIGE.AI, Inc., New York, NY (US)
Filed on Oct. 16, 2023, as Appl. No. 18/487,264.
Application 18/487,264 is a continuation of application No. 17/107,433, filed on Nov. 30, 2020, granted, now 11,823,378.
Claims priority of provisional application 62/951,504, filed on Dec. 20, 2019.
Prior Publication US 2024/0062376 A1, Feb. 22, 2024
Int. Cl. G06T 7/194 (2017.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 20/69 (2022.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G06V 20/69 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06V 2201/03 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for processing digital images of a tissue specimen, the method comprising:
receiving, by a floater detection platform, the digital images of the tissue specimen;
receiving, by the floater detection platform, data associated with a tissue type of the tissue specimen, the data including a tissue class;
detecting, by the floater detection platform, one or more contiguous tissue pieces of the tissue specimen using an analysis of the digital images;
extracting, by the floater detection platform, a plurality of features from each contiguous tissue piece of the one or more contiguous tissue pieces of the tissue specimen;
providing, by the floater detection platform, the plurality of features from each contiguous tissue piece to a machine-learning model, wherein the machine-learning model has been trained, using one or more gathered and/or simulated sets of digital images of a plurality of tissue specimens, to identify a sample tissue class of each contiguous tissue piece based on the plurality of features;
outputting, by the machine-learning model, a first sample tissue class of a first contiguous tissue piece;
comparing, by the floater detection platform, the first sample tissue class of the first contiguous tissue piece with the tissue class of the tissue specimen to determine a tissue class mismatch; and
generating, by the floater detection platform, an alert based on the tissue class mismatch.