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:
Apr. 19, 2022

Filed:

Oct. 26, 2019
Applicants:

Samsung Sds Co., Ltd., Seoul, KR;

Samsung Life Public Welfare Foundation, Seoul, KR;

Inventors:

Eun-Joo Jeon, Seoul, KR;

Sung-hoon Joo, Seoul, KR;

Soon-Hwan Kwon, Seoul, KR;

Myung-Jin Chung, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06N 3/0454 (2013.01); G06N 3/088 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

A medical diagnostic method according to an embodiment includes receiving a plurality of slide images of a three-dimensional (3D) medical image obtained by capturing an object and clinical data for the object, extracting one or more slide images including a lesion among the plurality of slide images, extracting a region of interest (ROI) including the lesion from each of the extracted one or more slide images, generating latent space data including a feature of an image of the extracted ROI using a pre-trained deep learning-based ROI abstraction model, and generating a diagnostic result for the object from the latent space data and the clinical data using a pre-trained deep learning-based medical diagnostic model.


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