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. 14, 2021

Filed:

May. 22, 2018
Applicants:

Waseda University, Tokyo, JP;

Shinshu University, Nagano, JP;

Inventors:

Takayuki Sota, Tokyo, JP;

Atsushi Nakamura, Tokyo, JP;

Hiroshi Koga, Nagano, JP;

Assignees:

SHINSHU UNIVERSITY, Tokyo, JP;

WASEDA UNIVERSITY, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/90 (2017.01); A61B 5/00 (2006.01); A61B 5/103 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 5/0077 (2013.01); A61B 5/1032 (2013.01); A61B 5/441 (2013.01); A61B 5/449 (2013.01); A61B 5/7485 (2013.01); G06T 7/90 (2017.01); A61B 2576/00 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30096 (2013.01);
Abstract

An analysis method and a diagnostic device, enabling one to determine whether a longitudinal melanonychia is caused by a malignant melanoma or a benign nevus by correcting color variation in a dermoscopic image through standardization of color balance without depending on an imaging device or an operator; and a computer program for allowing a computer to function as the diagnostic device. Proposed is a structure including: an image reading step of reading a color image of a longitudinal melanonychia or an affected skin site of a subject as a digital color image; an image processing step involving an image size conversion step of converting the whole size of the digital color image into a preset size through pixel size conversion, and a region of interest (ROI)-extraction step of extracting an ROI required for the diagnosis from the digital color image; a chromatic adaptation transformation step of controlling the color balance of the digital color image data through chromatic adaptation transformation; and a discrimination index (DI) calculation step of determining a DI value using the image after the chromatic adaptation transformation.


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