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.
Patent No.:
Date of Patent:
Jul. 05, 2022
Filed:
May. 29, 2020
National Technology & Engineering Solutions of Sandia, Llc, Albuquerque, NM (US);
Carianne Martinez, Albuquerque, NM (US);
Kevin Matthew Potter, Albuquerque, NM (US);
Emily Donahue, Albuquerque, NM (US);
Matthew David Smith, Albuquerque, NM (US);
Charles J. Snider, Albuquerque, NM (US);
John P. Korbin, Albuquerque, NM (US);
Scott Alan Roberts, Albuquerque, NM (US);
Lincoln Collins, Albuquerque, NM (US);
National Technology & Engineering Solutions of Sandia, LLC, Albuquerque, NM (US);
Abstract
A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. The label of any image element with an uncertainty value above a predefined threshold is replaced with a new label corresponding to the class with the next highest value.