Used in the technical field of artificial intelligence, provided are a brain addiction structure map evaluation method and an apparatus, the method comprising: acquiring a brain structure image to be categorized, the brain structure image being a brain fMRI image comprising multiple brain region images (S21); according to a brain addiction state structural map evaluation model for a pre-determined object of addiction, determining brain addiction state categories of different regions in the brain fMRI image (S22). By using a sample generator corresponding to each concentration to obtain multiple integrated fMRI images of a brain under the influence of each concentration when training the pre-determined brain addiction state structural map evaluation model, the integrated fMRI images effectively augmenting the training sample, the brain addiction state structural map evaluation model obtained by training using the augmented training sample can more precisely evaluate a brain fMRI image to be categorized, improving categorization results of the brain addiction state structural map evaluation model.
BRAIN ADDICTION STRUCTURE MAP EVALUATION METHOD AND APPARATUS