The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2020

Filed:

Oct. 31, 2017
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Jeffrey John Nirschl, Philadelphia, PA (US);

Andrew Janowczyk, East Meadow, NY (US);

Eliot G. Peyster, Philadelphia, PA (US);

Michael D. Feldman, Wilmington, DE (US);

Kenneth B. Margulies, Villanova, PA (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06T 3/40 (2006.01); G06K 9/20 (2006.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/2054 (2013.01); G06K 9/6277 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G16H 50/20 (2018.01); G06T 2207/10024 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30048 (2013.01);
Abstract

Methods, apparatus, and other embodiments predict heart failure from WSIs of cardiac histopathology using a deep learning convolutional neural network (CNN). One example apparatus includes a pre-processing circuit configured to generate a pre-processed WSI by downsampling a digital WSI; an image acquisition circuit configured to randomly select a set of non-overlapping ROIs from the pre-processed WSI, and configured to provide the set of non-overlapping ROIs to a deep learning circuit; a deep learning circuit configured to generate an image-level probability that a member of the set of non-overlapping ROIs is a failure/abnormal pathology ROI using a CNN; and a classification circuit configured to generate a patient-level probability that the patient from which the region of tissue represented in the WSI was acquired is experiencing failure or non-failure based, at least in part, on the image-level probability.


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