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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.

Patent No.:

US 12770375 B1

PDFFull Text
Date of Patent:
Oct. 20, 2026

Filed:

Feb. 15, 2024

Computer device and deep learning method of artificial intelligence model for medical image recognition

Applicants:

Quanta Computer Inc., Taoyuan City, TW;

Chang Gung Memorial Hospital AT Linkou, Taoyuan, TW;

Inventors:

Chia-Yuan Chang, Taoyuan City, TW;

Chen-Hwa Sung, Taoyuan City, TW;

Gigin Lin, Taoyuan, TW;

Tzu-Hsiang Yang, Taoyuan City, TW;

Tzu-Yun Wang, Taoyuan City, TW;

Chien-Yu Huang, Taoyuan City, TW;

Assignees:

QUANTA COMPUTER INC., Taoyuan City, TW;

CHANG GUNG MEMORIAL HOSPITAL AT LINKOU, Taoyuan, TW;

Attorney:

WPAT, PC

Primary Examiner:

Sumati Lefkowitz

Assistant Examiner:

Connor L Hansen

Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/11 (2017.01); G06T 7/155 (2017.01); G06T 7/174 (2017.01); G06T 11/00 (2026.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 20/50 (2022.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/11 (2017.01); G06T 7/155 (2017.01); G06T 7/174 (2017.01); G06T 11/00 (2013.01); G06V 10/267 (2022.01); G06V 10/40 (2022.01); G06V 20/50 (2022.01); G16H 50/20 (2018.01); G06T 2207/10084 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/031 (2022.01);
Abstract

A deep learning method of an artificial intelligence model for medical image recognition is provided. The method includes the following steps: obtaining a first image set, where the first image set includes at least two images captured with different parameters; performing image pre-processing on each image of the first image set to obtain a second image set; performing image augmentation on the second image set to obtain a third image set; adding the third image set to a training image data set; and training the artificial intelligence model using the training image data set.

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Quick Actions:

Chang, Chia-Yuan. (2026). Computer device and deep learning method of artificial intelligence model for medical image recognition (U.S. Patent No. 12770375). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12770375

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