Disclosed are a multimodal three-dimensional medical image fusion method and system, and an electronic device. The method comprises: constructing a multi-task generative adversarial network, wherein the multi-task generative adversarial network comprises a generator, a discriminator and a classifier; training the multi-task generative adversarial network according to an MRI image, a PET image and diagnosis label information of a subject; and inputting an MRI image of a person to be tested into the trained multi-task generative adversarial network, the generator synthesizing a corresponding PET image according to the MRI image and inputting the MRI image of said person and the synthesized PET image into the classifier, and outputting a disease classification prediction label of said person after the MRI image of said person and the synthesized PET image are fused. By means of the method, the problem in a traditional generative adversarial network of a conflict between loss function convergence points, which possibly occurs when the performance of a generator and the performance of a classifier are taken into consideration, is solved, such that the generator and the classifier can be optimal at the same time.
MULTIMODAL THREE-DIMENSIONAL MEDICAL IMAGE FUSION METHOD AND SYSTEM, AND ELECTRONIC DEVICE