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:
Dec. 06, 2022

Filed:

Jul. 18, 2019
Applicant:

Sca Robotics, Moraga, CA (US);

Inventor:

Rob K. Rao, Moraga, CA (US);

Assignee:

SCA ROBOTICS, Moraga, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G16H 50/20 (2018.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01); G01R 33/56 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/004 (2013.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); A61B 5/4848 (2013.01); A61B 5/7267 (2013.01); A61B 5/7282 (2013.01); G01R 33/5608 (2013.01); G06K 9/6231 (2013.01); G06K 9/6256 (2013.01); G06K 9/6263 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 20/698 (2022.01);
Abstract

A method of implementing an artificial intelligence based neuroradiology platform for neurological tumor identification comprises providing a multilayer convolutional network for neurological tumor identification configured for segmenting data sets of full neurologic scans into resolution voxels; supervised learning and validation of the platform by classification of tissue within classification voxels of a specific given training and validation data sets by the multilayer convolutional network for neurological tumor identification with each classification voxel of the training and validation data sets having a predetermined ground truth; and implementing the platform by classification of tissue within classification voxels of a specific given patient data sets by the multilayer convolutional network for neurological tumor identification with each classification voxel of each data set assigned a label. The platform may be used for T-cell therapy initiation and tracking. An artificial intelligence based neuroradiology platform implemented according to the method is disclosed.


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