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:
Feb. 08, 2022

Filed:

Aug. 18, 2020
Applicant:

The Penn State Research Foundation, University Park, PA (US);

Inventors:

Alison Gernand, State College, PA (US);

James Z. Wang, State College, PA (US);

Jeffery Goldstein, Chicago, IL (US);

William Parks, Toronto, CA;

Yukun Chen, State College, PA (US);

Zhuomin Zhang, State College, PA (US);

Dolzodmaa Davaasuren, State College, PA (US);

Chenyan Wu, State College, PA (US);

Assignees:

The Penn State Research Foundation, University Park, PA (US);

Northwestern University, Evanston, IL (US);

Sinai Health System, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/6256 (2013.01); G06K 9/6277 (2013.01); G06N 3/0454 (2013.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01);
Abstract

Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.


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