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. 22, 2022

Filed:

Feb. 28, 2020
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Yukio Kaneko, Tokyo, JP;

Masahiro Ogino, Tokyo, JP;

Yoshimi Noguchi, Tokyo, JP;

Yoshitaka Bito, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 5/20 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G16H 30/40 (2018.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06T 5/20 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06T 7/0012 (2013.01); G06T 11/003 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01); G06T 2210/41 (2013.01);
Abstract

Image processing using a machine learning model is enabled, thereby accurately reducing noise to improve image quality. A medical image is acquired; and it is evaluated whether noise in the medical image exceeds a predetermined reference value. A noise reducer reduces the noise of the medical image that has been determined to include noise that exceeds the reference value. The noise of the medical image is reduced using a machine learning model constructed by collecting a plurality of learning data sets that include an image with noise as input data and an image without noise as output data. The machine learning model includes a plurality of layers that perform convolution on an image that is input, one layer of which includes a filter layer in which a plurality of linear or nonlinear filters are incorporated, and convolution coefficients of the plurality of linear or nonlinear filters are predetermined.


Find Patent Forward Citations

Loading…