Patent ID: 11948314
Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A non-transitory computer readable medium, comprising at least one set of instructions, wherein when executed by at least one processor of a computing device, the at least one set of instructions cause the at least one processor to effectuate a method comprising:
obtaining a first image of a first modality;
generating a second image of a second modality by processing, based on a trained machine learning model, the first image;
wherein the second modality is different from the first modality,
the trained machine learning model is a generative adversarial network (GAN) and includes a generative model, a first discriminative model, and a second discriminative model, and
in a process of training the machine learning model, the first discriminative model is used to evaluate a difference between a predicted image of the generative model and a reference image, the reference image is a desired predicted image, and the second discriminative model is used to evaluate a difference between at least one first shape extracted from the predicted image of the generative model and at least one second shape extracted from a sample input image of the generative model.