| CPC G06T 7/0014 (2013.01) [G06N 20/00 (2019.01); G06T 3/147 (2024.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01)] | 18 Claims |
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1. A medical imaging system comprising:
at least one medical imaging device providing image data of a subject;
a processing system programmed to:
generate a plurality of training images having simulated medical conditions, wherein the medical conditions include metal implants;
train a deep learning network model using the plurality of training images;
input the image data of the subject to the deep learning network model; and
generate a medical image of the subject based on the output of the deep learning network model;
wherein the processing system is programmed to generate the plurality of training images by blending a pathology region from a plurality of template source images to a plurality of target images; and
wherein the deep learning network model is trained to reduce artifacts in the image data corresponding to metal implants.
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