Disclosed is an intelligent intracranial plaque and carotid plaque segmentation method for a magnetic resonance image, the method comprising the following steps: step S1, acquiring a vascular wall magnetic resonance image of a user; step S2, pre-processing the vascular wall magnetic resonance image to obtain a pre-processed image; step S3, segmenting a preset plaque region in the pre-processed image by means of a pre-trained convolutional neural network model; and step S4, outputting a plaque tissue region segmentation image corresponding to the vascular wall magnetic resonance image. By means of the present invention, the precision of plaque segmentation of a vascular wall magnetic resonance image is improved, and therefore, a high-precision segmentation image is obtained, thereby facilitating the improvement of diagnosis efficiency and the degree of safety of an operation.
INTELLIGENT INTRACRANIAL PLAQUE AND CAROTID PLAQUE SEGMENTATION METHOD FOR MAGNETIC RESONANCE IMAGE