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:
Aug. 10, 2021

Filed:

Aug. 28, 2019
Applicant:

Fujifilm Corporation, Tokyo, JP;

Inventors:

Mizuki Takei, Tokyo, JP;

Yoshiro Kitamura, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 30/20 (2018.01); G06T 7/11 (2017.01); A61B 6/00 (2006.01); G16H 30/40 (2018.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); A61B 5/055 (2006.01); G06T 7/68 (2017.01); G06N 20/00 (2019.01); G06T 7/33 (2017.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0042 (2013.01); A61B 6/501 (2013.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 2576/026 (2013.01); G06K 2209/051 (2013.01); G06N 20/00 (2019.01); G06T 7/337 (2017.01); G06T 7/68 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G16H 50/20 (2018.01);
Abstract

A determination processing unit determines a disease region in a medical image including an axisymmetric structure. A first determination section of the determination processing unit generates a feature amount map of the medical image from the medical image. A second determination section second inverts the feature amount map with reference to a symmetry axis to generate an inverted feature amount map. A third determination section superimposes the feature amount map and the inverted feature amount map on each other and determines the disease region in the medical image using the feature amount map and the inverted feature amount map superimposed on each other.


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