Patent ID: 11901064
Assignee: PAIGE.AI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A method for training one or more machine learning systems to generate synthetic medical images, the method comprising:
receiving a plurality of simulated medical images generated based on a plurality of real medical images by a graphics simulation system, wherein the plurality of simulated medical images are comprised of parameterized synthetic image data representing the plurality of real medical images;
training, using a first training dataset, a first machine learning system configured to predict parameterized synthetic image data of simulated medical images generated by the graphics simulation system based on real medical images for use in training a second machine learning system, the first training dataset including the plurality of real medical images and a corresponding plurality of labels including the parameterized synthetic image data of the plurality of simulated medical images generated based on the plurality of real medical images by the graphics simulation system; and
training, using a second training dataset, the second machine learning system configured to generate a synthetic medical image based on a reference medical image and parameterized synthetic image data of a simulated medical image generated by the graphics simulation system, the second training dataset including the predicted parameterized synthetic image data of the simulated medical images generated by the graphics simulation system based on the real medical images from the trained first machine learning system and a corresponding plurality of labels including the real medical images.