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:
May. 10, 2016

Filed:

Dec. 04, 2013
Applicants:

Vikas C. Raykar, Bangalore, IN;

Yiqiang Zhan, West Chester, PA (US);

Maneesh Dewan, San Jose, CA (US);

Gerardo Hermosillo Valadez, West Chester, PA (US);

Zhigang Peng, Blue Bell, PA (US);

Xiang Sean Zhou, Exton, PA (US);

Inventors:

Vikas C. Raykar, Bangalore, IN;

Yiqiang Zhan, West Chester, PA (US);

Maneesh Dewan, San Jose, CA (US);

Gerardo Hermosillo Valadez, West Chester, PA (US);

Zhigang Peng, Blue Bell, PA (US);

Xiang Sean Zhou, Exton, PA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6202 (2013.01); G06K 9/629 (2013.01); G06K 9/6211 (2013.01); G06T 7/0028 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.


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