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:
Nov. 19, 2019

Filed:

Sep. 29, 2016
Applicants:

Siemens Healthcare Gmbh, Erlangen, DE;

Siemens Corporation, Princeton, NJ (US);

Inventors:

Venkatesh N. Murthy, Amherst, MA (US);

Vivek Kumar Singh, Princeton, NJ (US);

Shanhui Sun, Princeton, NJ (US);

Subhabrata Bhattacharya, Seattle, WA (US);

Kai Ma, Princeton, NJ (US);

Ali Kamen, Skillman, NJ (US);

Bogdan Georgescu, Plainsboro, NJ (US);

Terrence Chen, Princeton, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06K 9/00147 (2013.01); G06K 9/4628 (2013.01); G06T 7/0012 (2013.01); G06K 2209/05 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01); G16H 30/20 (2018.01);
Abstract

A method and system for classification of endoscopic images is disclosed. An initial trained deep network classifier is used to classify endoscopic images and determine confidence scores for the endoscopic images. The confidence score for each endoscopic image classified by the initial trained deep network classifier is compared to a learned confidence threshold. For endoscopic images with confidence scores higher than the learned threshold value, the classification result from the initial trained deep network classifier is output. Endoscopic images with confidence scores lower than the learned confidence threshold are classified using a first specialized network classifier built on a feature space of the initial trained deep network classifier.


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