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:
Dec. 19, 2023

Filed:

Sep. 02, 2020
Applicant:

Canon Medical Systems Corporation, Otawara, JP;

Inventors:

Jian Zhou, Buffalo Grove, IL (US);

Zhou Yu, Glenview, IL (US);

Yan Liu, Vernon Hills, IL (US);

Assignee:
Attorney:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G06T 5/50 (2006.01); G06T 11/00 (2006.01); G06N 3/08 (2023.01); G06V 30/244 (2022.01); G06F 18/10 (2023.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06F 18/10 (2023.01); G06N 3/08 (2013.01); G06T 5/50 (2013.01); G06T 7/0014 (2013.01); G06T 11/003 (2013.01); G06T 11/008 (2013.01); G06V 30/244 (2022.01); G16H 30/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01);
Abstract

A medical image processing apparatus according to an embodiment comprises a memory and processing circuitry. The memory is configured to store a plurality of neural networks corresponding to a plurality of imaging target sites, respectively, the neural networks each including an input layer, an output layer, and an intermediate layer between the input layer and the output layer, and each generated through learning processing with multiple data sets acquired for the corresponding imaging target site. The processing circuitry is configured to process first data into second data using, among the neural networks, the neural network corresponding to the imaging target site for the first data, wherein the first data is input to the input layer and the second data is output from the output layer.


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