The present disclosure relates to a biological classification device and a method for Alzheimer's disease using a brain image. According to an aspect of the present disclosure, a biological classification device for Alzheimer's disease using a brain image includes an image receiving unit which receives a plurality of images obtained by capturing a brain of a subject; an image processing unit which acquires neurodegeneration feature related to the brain of the subject and SUVR information from the plurality of images; an image analysis unit which performs first determination of whether it is normal or abnormal with respect to cranial nerves based on the neurodegeneration feature and second determination and third determination of whether it is normal or abnormal with respect to beta amyloid protein and tau protein based on the SUVR information; and a classifying unit which performs biological classification of the subject related to the Alzheimer's disease using the first determination, the second determination, and the third determination together.
BIOLOGICAL CLASSIFICATION DEVICE AND METHOD FOR ALZHEIMER'S DISEASE USING MULTIMODAL BRAIN IMAGE