US 12,236,587 B2
Neural network utilization with ultrasound technology
Davin Dhatt, Woodinville, WA (US); Thomas Duffy, Snohomish, WA (US); Adam Pely, Seattle, WA (US); Christopher White, North Vancouver (CA); Andrew Lundberg, Woodinville, WA (US); Paul Danset, Kirkland, WA (US); Craig Chamberlain, Seattle, WA (US); and Diku Mandavia, Los Angeles, CA (US)
Assigned to FUJIFILM SONOSITE, INC., Bothell, WA (US)
Filed by FUJIFILM SonoSite, Inc., Bothell, WA (US)
Filed on Feb. 14, 2022, as Appl. No. 17/671,302.
Prior Publication US 2023/0260107 A1, Aug. 17, 2023
Int. Cl. G06T 7/00 (2017.01); G06N 5/04 (2023.01); G16H 30/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06N 5/04 (2013.01); G16H 30/20 (2018.01); G06T 2207/10132 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method implemented by a computing device, the method comprising:
identifying, by one or more processors of the computing device, a neural network for implementation on the computing device to generate, based on ultrasound data, inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data;
obtaining, by the one or more processors, the ultrasound data including images from the ultrasound machine;
implementing, by the one or more processors, the neural network on the computing device, the implementing including configuring the neural network to generate an inference for at least one image of the images;
determining, for the at least one image, an accuracy of the inference; and
automatically reconfiguring, by the one or more processors, the neural network to increase the accuracy based on the determining the accuracy.