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. 07, 2019

Filed:

Nov. 24, 2015
Applicant:

Stc.unm, Albuquerque, NM (US);

Inventors:

Majeed M. Hayat, Albuquerque, NM (US);

Sanjay Krishna, Albuquerque, NM (US);

Sebastian Eugenio Godoy, Albuquerque, NM (US);

David A. Ramirez, Albuquerque, NM (US);

Assignee:

STC.UNM, Albuquerque, NM (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); G06F 19/00 (2018.01); G06T 7/62 (2017.01); G06T 7/68 (2017.01); G06T 7/277 (2017.01); G06T 7/13 (2017.01); G06T 7/174 (2017.01); G06T 7/90 (2017.01); G16H 50/20 (2018.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/40 (2017.01);
U.S. Cl.
CPC ...
A61B 5/7275 (2013.01); A61B 5/015 (2013.01); A61B 5/444 (2013.01); A61B 5/7264 (2013.01); G06F 19/00 (2013.01); G06K 9/6214 (2013.01); G06K 9/6277 (2013.01); G06T 7/0016 (2013.01); G06T 7/13 (2017.01); G06T 7/174 (2017.01); G06T 7/277 (2017.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); G06T 7/68 (2017.01); G06T 7/90 (2017.01); G16H 50/20 (2018.01); A61B 5/489 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A technique for classifying lesions as malignant or benign is disclosed. The technique can include: cooling an area of skin including a lesion of a patient to initiate a warm-up process; receiving a temporal sequence of thermal images of the area of skin representing a thermal recovery of the area of skin, the temporal sequence of thermal images generated by an infrared camera; generating a temporal profile of the thermal recovery based on the temporal sequence of thermal images; analyzing temporal statistical properties of the temporal profile; determining a malignancy probability that the lesion is malignant based on an analysis of the temporal profile, wherein the determining includes extracting one or more statistical features based on continuous-time stochastic signals in the sequence of thermal images; and classifying the lesion based on the malignancy probability.


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