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:
Nov. 14, 2023

Filed:

Dec. 09, 2020
Applicant:

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

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Nathaniel Braman, Bethel Park, PA (US);

Tristan Maidment, Cleveland, OH (US);

Yijiang Chen, Cleveland, OH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/00 (2017.01); A61B 6/00 (2006.01); A61B 6/02 (2006.01); G16H 50/20 (2018.01); G06N 3/04 (2023.01); G06T 7/11 (2017.01); G06F 18/214 (2023.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 6/025 (2013.01); A61B 6/469 (2013.01); A61B 6/502 (2013.01); A61B 6/5217 (2013.01); G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 50/20 (2018.01); G06T 2207/10112 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.


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