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, 2020

Filed:

Mar. 21, 2016
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Satish Viswanath, Cleveland, OH (US);

Anant Madabhushi, Beachwood, OH (US);

Jacob Antunes, Cincinnati, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/055 (2006.01); G06K 9/62 (2006.01); A61B 34/10 (2016.01); G06T 7/00 (2017.01); G06K 9/46 (2006.01); G06N 20/00 (2019.01); G06N 5/00 (2006.01); G06N 3/08 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/055 (2013.01); A61B 34/10 (2016.02); G01R 33/5608 (2013.01); G06K 9/4619 (2013.01); G06K 9/6212 (2013.01); G06K 9/6247 (2013.01); G06K 9/6269 (2013.01); G06N 3/08 (2013.01); G06N 5/00 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06K 2209/05 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30028 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Methods and apparatus associated with predicting colorectal cancer tumor invasiveness are described. One example apparatus includes a set of circuits, and a data store that stores radiological images of tissue demonstrating colorectal cancer. The set of circuits includes a circumferential resection margin (CRM) prediction circuit that generates a CRM probability score for a diagnostic radiological image, an image acquisition circuit that acquires a diagnostic radiological image of a region of tissue demonstrating colorectal cancer pathology and that provides the diagnostic radiological image to the CRM prediction circuit, and a training circuit that trains the CRM prediction circuit to quantify chemoradiation response in the region of tissue represented in the diagnostic radiological image. The training circuit trains the CRM prediction circuit using a set of composite images.


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