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. 29, 2025

Filed:

Aug. 29, 2022
Applicant:

Wistron Corporation, New Taipei, TW;

Inventors:

Guan Yi Chian, New Taipei, TW;

Kuan-I Chung, New Taipei, TW;

Assignee:

Wistron Corporation, New Taipei, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2021.12); G06T 7/00 (2016.12); G06V 10/22 (2021.12); G06V 10/26 (2021.12); G06V 10/32 (2021.12); G06V 10/776 (2021.12); G06V 10/96 (2021.12);
U.S. Cl.
CPC ...
G06V 10/774 (2021.12); G06T 7/0012 (2012.12); G06V 10/225 (2021.12); G06V 10/267 (2021.12); G06V 10/32 (2021.12); G06V 10/776 (2021.12); G06V 10/96 (2021.12); G06T 2207/20081 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/30096 (2012.12); G06V 2201/03 (2021.12);
Abstract

An embodiment of the invention provides a processing method of a medical image and a computing apparatus for processing a medical image. In the method, one or more image samples are obtained, a tumor region and an appearance feature thereof in the image sample are marked, and an image recognition model is trained according to the image sample, the tumor region thereof, and an appearance feature of a first tumor. The image sample is an image obtained by photographing an animal body. The appearance feature represents an appearance of the first tumor corresponding to the tumor region. The image recognition model identifies a second tumor in an image to be evaluated is a first type. The first type is related to the tumor region and the appearance feature of the first tumor. Accordingly, a prediction accuracy may be improved.


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