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:
Aug. 18, 2020

Filed:

Apr. 10, 2018
Applicant:

Vuno, Inc., Seoul, KR;

Inventor:

Kyu Hwan Jung, Seoul, KR;

Assignee:

Vuno, Inc., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); G06T 7/11 (2017.01); G06T 7/00 (2017.01); G06T 15/08 (2011.01); G16H 30/40 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G16H 50/20 (2018.01); G06K 9/00 (2006.01); G06T 7/143 (2017.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06K 9/00201 (2013.01); G06K 9/627 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 15/08 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30064 (2013.01); G06T 2210/41 (2013.01);
Abstract

A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2≤m≤n) number of unit images from a three-dimensional (3D) medical image including n (n≥2) number of unit images and extracting features per unit image from each of the m (2≤m≤n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2≤m≤n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p≥2, p≠n) number of unit images.


Find Patent Forward Citations

Jung, Kyu. (2020). Content-based medical image retrieval method and retrieval system (U.S. Patent No. 10748662). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10748662

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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