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:
May. 18, 2021

Filed:

Feb. 11, 2019
Applicant:

Ai.skopy, Inc., San Jose, CA (US);

Inventors:

Chih-Chung Hsu, Taichung, TW;

Tsung-Chun Lee, New Taipei, TW;

Assignee:

AI.SKOPY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G09B 23/28 (2006.01); A61B 1/273 (2006.01); A61B 1/00 (2006.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G09B 23/285 (2013.01); G16H 30/40 (2018.01); A61B 1/00009 (2013.01); A61B 1/2736 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30028 (2013.01);
Abstract

A system and method of diagnosing gastrointestinal neoplasm or pathologies in an endoscopy system including an endoscopy system display for displaying an image enhanced endoscopy (IEE) image. The method includes randomly generating training image samples with or without cancer region(s) by an adversarial network (AN) including collecting endoscopic training images (T1) and automatically generating a realistic IEE image as a new training image sample (T2) using a generator network in the AN from a generated segmentation map; using a prediction network (L1PN) to learn a level 1 prediction result being a cancerous probability of an IEE image from the collected T1 and T2; using a prediction network (L2PN) to learn a level 2 prediction result being detected cancerous region(s) of an IEE image; and predicting the level 1 result and the level 2 result for an IEE image using the L1PN and the L2PN and without using the AN.


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