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:
Jan. 18, 2022

Filed:

Dec. 09, 2020
Applicant:

Canon Medical Systems Corporation, Otawara, JP;

Inventors:

Atsushi Yaguchi, Tokyo, JP;

Tomoya Okazaki, Hachioji, JP;

Yasunori Taguchi, Kawasaki, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/44 (2017.01); G06T 11/00 (2006.01); G06K 9/46 (2006.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 7/45 (2017.01); G06T 7/41 (2017.01); G06K 9/56 (2006.01); G06K 9/62 (2006.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06K 9/4642 (2013.01); G06K 9/4647 (2013.01); G06K 9/56 (2013.01); G06K 9/6277 (2013.01); G06T 7/0012 (2013.01); G06T 7/41 (2017.01); G06T 7/44 (2017.01); G06T 7/45 (2017.01); G06T 11/005 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract

According to one embodiment, an image processing apparatus includes processing circuitry. The processing circuitry is configured to acquire medical image data. The processing circuitry is configured to obtain spatial distribution of likelihood values representing a likelihood of corresponding to a textual pattern in a predetermined region of a medical image for each of a plurality of textual patterns based on the medical image data. The processing circuitry is configured to calculate feature values in the predetermined region of the medical image based on the spatial distribution obtained for the each of the plurality of textual patterns.


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