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. 03, 2019

Filed:

Nov. 09, 2017
Applicant:

Amcad Biomed Corporation, Taipei, TW;

Inventors:

Argon Chen, Taipei, TW;

Yi-Hsien Hsiao, Taipei, TW;

Tien-Chun Chang, Taipei, TW;

I-Shiow Jan, Taipei, TW;

Shyang-Rong Shih, Taipei, TW;

Hsuan-Mao Wang, Taipei, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 7/136 (2017.01); G06T 7/12 (2017.01); G01N 1/30 (2006.01); G06K 9/62 (2006.01); G06T 7/90 (2017.01); G02B 21/36 (2006.01); G06T 7/181 (2017.01); G06T 7/73 (2017.01); G02B 21/06 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G01N 1/30 (2013.01); G02B 21/06 (2013.01); G06K 9/0014 (2013.01); G06K 9/00127 (2013.01); G06K 9/4604 (2013.01); G06K 9/6202 (2013.01); G06K 9/6232 (2013.01); G06T 7/0008 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/181 (2017.01); G06T 7/194 (2017.01); G06T 7/73 (2017.01); G02B 21/365 (2013.01); G06T 7/90 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A cytological image processing device, a method for quantifying characteristics of cytological image and a non-transitory computer readable medium thereof are provided. The cytological image processing device executes the method including the steps: loading a cytological image with a plurality of pixels; removing a background part from the cytological image according to at least one of a plurality of color attributes of each pixel of the cytological image in a color space to obtain a background-subtracted image; dividing the background-subtracted image into a nuclear part and a cytoplasmic part; detecting a plurality of edge pixels in the background-subtracted image to segment a plurality of nuclear blocks in the background-subtracted image; generating a parameter set according to the nuclear blocks; and generating an output image by visualizing the background-subtracted image.


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