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:
Nov. 02, 2021

Filed:

Aug. 29, 2019
Applicant:

Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);

Inventors:

Jianming Liang, Scottsdale, AZ (US);

Zongwei Zhou, Tempe, AZ (US);

Md Mahfuzur Rahman Siddiquee, Tempe, AZ (US);

Nima Tajbakhsh, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06T 7/11 (2017.01); G06N 3/08 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06K 9/0014 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 2207/20016 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Disclosed are provided systems, methods, and apparatuses for implementing a multi-resolution neural network for use with imaging intensive applications including medical imaging. For example, a system having means to execute a neural network model formed from a plurality of layer blocks including an encoder layer block which precedes a plurality of decoder layer blocks includes: means for associating a resolution value with each of the plurality of layer blocks; means for processing via the encoder layer block a respective layer block input including a down-sampled layer block output processing, via decoder layer blocks, a respective layer block input including an up-sampled layer block output and a layer block output of a previous layer block associated with a prior resolution value of a layer block which precedes the respective decoder layer block; and generating the respective layer block output by summing or concatenating the processed layer block inputs.


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