Nuclear magnetic resonance image processing device and method based on convolutional neural network

The invention provides a nuclear magnetic resonance image processing device and method based on a convolutional neural network, and relates to a method for carrying out computer-assisted identification on a hippocampal head of a hippocampus, CA1, CA2, CA3, CA4 / dentate gyrus, hippocampal fimbria and a hippocampus tail, and a classification method for realizing three classification of three groups of a normal old age group, a clinically-diagnosed amnestic mild cognitive impairment group and a clinically-diagnosed Alzheimer's disease group through the deep learning convolution neural network of artificial intelligence. The method determines a training set, a verification set and a test set for deep learning of the artificial intelligence by utilizing nuclear magnetic resonance image data of the normal old age group, the clinically-diagnosed amnestic mild cognitive impairment group and the clinically-diagnosed Alzheimer's disease group, and can convert nuclear magnetic resonance three-dimensional data into two-