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:
Feb. 04, 2020

Filed:

Nov. 24, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Umar Asif, Melbourne, AU;

Stefan Harrer, Melbourne, AU;

Jianbin Tang, Melbourne, AU;

Antonio Jimeno Yepes, Melbourne, AU;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); A61B 34/32 (2016.01); A61B 34/10 (2016.01);
U.S. Cl.
CPC ...
G06K 9/00147 (2013.01); A61B 6/502 (2013.01); A61B 6/5217 (2013.01); A61B 34/10 (2016.02); A61B 34/32 (2016.02); G06K 9/0014 (2013.01); G06K 9/6228 (2013.01); G06K 9/6289 (2013.01); G06T 7/0014 (2013.01); A61B 2034/107 (2016.02); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A method for digital image classification and localization includes receiving a digital image of a biological organism from an imaging apparatus, the digital image comprising a plurality of intensities on a 2-dimensional grid of points, generating a plurality of discriminative representations of the 2D digital image by extracting dominant characteristics of the image from three different viewpoints, where the plurality of discriminative representations form a 3-dimensional digital image, combining the 3D digital image with the 2D digital image in a convolutional neural network that outputs a 3-channel feature map that localizes image abnormalities in each of the three channels and includes a detection confidence that each abnormalities is a neoplasm, providing the 3-channel feature map to a controller of a robotic surgical device where the robotic surgical device uses the 3-channel feature map to locate the neoplasm within the biological organism in a surgical procedure for treating the neoplasm.


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