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:
Apr. 20, 2021

Filed:

Jun. 13, 2019
Applicant:

Panasonic Intellectual Property Management Co., Ltd., Osaka, JP;

Inventors:

Kensuke Wakasugi, Tokyo, JP;

Kenji Kondo, Ibaraki, JP;

Kazutoyo Takata, Fukui, JP;

Hirohiko Kimura, Fukui, JP;

Toyohiko Sakai, Fukui, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/20 (2006.01); G16H 30/40 (2018.01); G06T 11/60 (2006.01); G06T 7/00 (2017.01); G06F 3/0484 (2013.01); G06K 9/32 (2006.01); G06K 9/34 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01); G06F 16/583 (2019.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 3/04845 (2013.01); G06K 9/2081 (2013.01); G06K 9/3233 (2013.01); G06K 9/342 (2013.01); G06K 9/4628 (2013.01); G06K 9/4642 (2013.01); G06K 9/4676 (2013.01); G06K 9/627 (2013.01); G06T 7/0012 (2013.01); G06T 11/60 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G06F 16/583 (2019.01); G06K 2209/05 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/41 (2013.01);
Abstract

If a lesion included in a specification target image is a texture lesion, a probability image calculation unit calculates a probability value indicating a probability that each of a plurality of pixels of the specification target image is included in a lesion area. An output unit calculates, as a candidate area, an area including pixels whose probability values are equal to or larger than a first threshold in a probability image obtained from the probability image calculation unit and, as a modification area, an area including pixels whose probability values are within a certain probability range including the first threshold. An input unit detects an input from a user on a pixel in the modification area. A lesion area specification unit specifies a lesion area on the basis of the probability image, the candidate area, the modification area, and user operation information.


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