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. 20, 2024

Filed:

Oct. 09, 2019
Applicant:

Skymatix, Inc., Tokyo, JP;

Inventors:

Yasutaka Kuramoto, Tokyo, JP;

Zentaro Watanabe, Tokyo, JP;

Masaki Enomoto, Tokyo, JP;

Houari Sabirin, Tokyo, JP;

Assignee:

SkymatiX, Inc., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 18/40 (2023.01); G06V 20/10 (2022.01); G06T 7/00 (2017.01); G08G 5/00 (2006.01);
U.S. Cl.
CPC ...
G06F 18/41 (2023.01); G06T 7/0002 (2013.01); G06V 20/188 (2022.01); G08G 5/0034 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30188 (2013.01);
Abstract

The present invention makes an efficient diagnosis of an object. A general serverof a diagnostic assistance systemprovides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI serverof the diagnostic assistance systemcreates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.


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