A brain atrophy identification method and a device, pertaining to the technical field of artificial intelligence. The method comprises: determining, by using a keyframe detection module, a keyframe in a brain image sequence (102); detecting, by using a key point detection module, key points in the keyframe, and determining a first-type classification indicator according to the key points in the keyframe (103); segmenting the keyframe by using an image segmentation module, and determining a second-type classification indicator (104); and identifying brain atrophy according to the first-type classification indicator and the second-type classification indicator (105). Different detection manners are used for characteristics of the different classification indicators, thereby improving detection accuracy of the classification indicators. In addition, using the first-type classification indicator and the second-type classification indicator to identify brain atrophy also improves accuracy in brain atrophy identification. Furthermore, a neural network model is used to automatically identify brain atrophy, thereby having low dependency on manual labor and high efficiency compared to manual measurement and calculation.
BRAIN ATROPHY IDENTIFICATION METHOD, AND DEVICE