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.
Patent No.:
Date of Patent:
Dec. 29, 2020
Filed:
Feb. 15, 2019
Applicant:
Topcon Corporation, Tokyo, JP;
Inventors:
Zaixing Mao, Edgewater, NJ (US);
Zhenguo Wang, Ridgewood, NJ (US);
Kinpui Chan, Ridgewood, NJ (US);
Yasufumi Fukuma, Tokyo, JP;
Assignee:
TOPCON CORPORATION, Tokyo, JP;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/136 (2017.01); G06T 7/12 (2017.01); G06F 17/18 (2006.01); G06K 9/36 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/41 (2017.01); A61B 3/10 (2006.01); A61B 3/12 (2006.01);
U.S. Cl.
CPC ...
G06T 7/136 (2017.01); A61B 3/102 (2013.01); G06F 17/18 (2013.01); G06K 9/36 (2013.01); G06K 9/6256 (2013.01); G06T 7/0012 (2013.01); G06T 7/12 (2017.01); G06T 7/41 (2017.01); A61B 3/12 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01);
Abstract
A machine learning model is trained to identify the texture difference between the different layers of a multilayer object. By training with data in full 3D space, the resulting model is capable of predicting the probability that each pixel in a 3D image belongs to a certain layer. With the resulting probability map, comparing probabilities allows one to determine boundaries between layers, and/or other properties and useful information such as volume data.