Systems and methods for processing images to determine image-based computational biomarkers from liquid specimens

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United States of America

PATENT NO 12236694
APP PUB NO 20230360414A1
SERIAL NO

18346391

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Abstract

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A method of using machine learning to output task-specific predictions may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.

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Patent Owner(s)

Patent OwnerAddress
PAIGE AI INC11 TIMES SQUARE 37TH FLOOR NEW YORK NY 10036

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Grady, Leo Darien, US 299 4686
Houliston, Matthew Boston, US 9 13
Raciti, Patricia New York, US 38 54
Rothrock, Brandon Los Angeles, US 13 18
Sue, Jillian New York, US 33 27

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