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:
Jun. 23, 2015

Filed:

Mar. 26, 2013
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Eric Cosatto, Red Bank, NJ (US);

Pierre-Francois Laquerre, North Brunswick, NJ (US);

Christopher Malon, Fort Lee, NJ (US);

Hans-Peter Graf, Lincroft, NJ (US);

Assignee:

NEC Laboratories America, Inc., Princeton, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/00 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2006.01); G06F 19/00 (2011.01);
U.S. Cl.
CPC ...
A61B 5/0033 (2013.01); G06K 9/6227 (2013.01); G06K 9/00127 (2013.01); G06K 9/6256 (2013.01); G06T 7/0012 (2013.01); G06F 19/36 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01);
Abstract

Disclosed is a computer implemented method for fully automated tissue diagnosis that trains a region of interest (ROI) classifier in a supervised manner, wherein labels are given only at a tissue level, the training using a multiple-instance learning variant of backpropagation, and trains a tissue classifier that uses the output of the ROI classifier. For a given tissue, the method finds ROIs, extracts feature vectors in each ROI, applies the ROI classifier to each feature vector thereby obtaining a set of probabilities, provides the probabilities to the tissue classifier and outputs a final diagnosis for the whole tissue.


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