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. 22, 2018

Filed:

Jun. 30, 2015
Applicant:

Balter Inc., Maplewood, NJ (US);

Inventors:

Jakob J. Stamnes, Oslo, NO;

Boerge Hamre, Sandsli, NO;

Gennady Ryzhikov, Loddefjord, NO;

Lu Zhao, Bergen, NO;

Marina Buryulina, Loddefjord, NO;

Knut Stamnes, Maplewood, NJ (US);

Assignee:

Balter, Inc., Maplewood, NJ (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/107 (2006.01);
U.S. Cl.
CPC ...
A61B 5/444 (2013.01); A61B 5/0075 (2013.01); A61B 5/0077 (2013.01); A61B 5/1079 (2013.01); A61B 5/7264 (2013.01);
Abstract

An embodiment of the present invention includes a method for discriminating between benign and malignant tissue lesions. The method includes the steps of using a plurality of maps of physiology and morphology parameters generated from reflectance measurements and morphology parameters generated from reflectance measurements. The method also includes calculating entropies and cross entropies of the plurality of maps, and calculating a plurality of morphology parameters. Further, the method includes assigning a weight to each entropy and a weight to a logarithm of each entropy, a weight to each cross entropy and a weight to a logarithm of each cross entropy, and a weight to each morphology parameter and a weight to a logarithm of each morphology parameter. The method further includes computing a diagnostic index, defining a cost function, defining a proper threshold value for a diagnostic index and solving an optimization problem to determine a set of weights from the assigned weights to maximize specificity for 100% sensitivity. Further, the method uses calculations, the cost function and the diagnostic index to determine whether the tissue lesion is benign or malignant.


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