Machine learning generation of low-noise and high structural conspicuity images

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United States of America

PATENT NO 12141900
APP PUB NO 20230177747A1
SERIAL NO

17543234

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Abstract

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Systems/techniques that facilitate machine learning generation of low-noise and high structural conspicuity images are provided. In various embodiments, a system can access an image and can apply at least one of image denoising or image resolution enhancement to the image, thereby yielding a first intermediary image. In various instances, the system can generate, via execution of a plurality of machine learning models, a plurality of second intermediary images based on the first intermediary image, wherein a given machine learning model in the plurality of machine learning models receives as input the first intermediary image, wherein the given machine learning model produces as output a given second intermediary image in the plurality of second intermediary images, and wherein the given second intermediary image represents a kernel-transformed version of the first intermediary image. In various cases, the system can generate a blended image based on the plurality of second intermediary images.

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Patent Owner(s)

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GE PRECISION HEALTHCARE LLC3000 NORTH GRANDVIEW BLVD WAUKESHA WI 53188-1696

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Agrawal, Utkarsh Bangalore, IN 17 7
Das, Bipul Chennai, IN 36 85
Hsieh, Jiang Brookfield, US 312 6137
Imai, Yasuhiro Tokyo, JP 58 650
Langoju, Rajesh Veera Venkata Lakshmi Bengaluru, IN 8 78
Shigemasa, Risa Tokyo, JP 8 1

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