SYSTEMS AND METHODS FOR MEDICAL IMAGE STYLE TRANSFER USING DEEP NEURAL NETWORKS

Patent №

US 11,348,243

Granted

2022-05-31

Filed 2020

Owner

GE PRECISION HEALTHCARE LLC

Lab

AI components

4

ml · nlp · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16752461

The current disclosure provides for mapping medical images to style transferred medical images using deep neural networks, while maintaining clinical quality of the style transferred medical image, thereby enabling a clinician to evaluate medical images in a preferred style without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a medical image of an anatomical region of a subject, wherein the medical image is in a first style, selecting a target style, wherein the target style is distinct from the first style, selecting a clinical quality metric, selecting a trained style transfer network based on the target style and the clinical quality metric, mapping the medical image to a style transferred medical image using the trained style transfer network, wherein the style transferred medical image is in the target style, and displaying the style transferred medical image via a display device.

Machine learningNatural languageVisionKnowledge representationG06T 7/0014G06T 5/60G06T 5/92G16H 30/40G16H 40/63G16H 50/20G06T 2207/10072G06T 2207/20081+4 more

AI classification

Vision1.00
Natural language1.00
Machine learning1.00
Knowledge representation0.93
AI hardware0.09
Planning0.04
Evolutionary computation0.00
Speech0.00

Ownership

GE PRECISION HEALTHCARE LLC

assignment · 516160767

Assignors

LI, ZHIJIN, MULLER, SERGE, PALMA, GIOVANNI, IORDACHE, RAZVAN

On an employer assignment, the assignors are typically the inventors.

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