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PLAQUE PROCESSING METHOD AND DEVICE CAPABLE OF PERFORMING MAGNETIC RESONANCE VESSEL WALL IMAGING, AND COMPUTING DEVICE
PLAQUE PROCESSING METHOD AND DEVICE CAPABLE OF PERFORMING MAGNETIC RESONANCE VESSEL WALL IMAGING, AND COMPUTING DEVICE
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机译:能够执行磁共振血管壁成像的斑块处理方法和装置以及计算装置
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摘要
A plaque processing method and device capable of performing magnetic resonance vessel wall imaging, and a computing device, being used to efficiently and accurately identify and classify plaques in magnetic resonance vessel wall imaging, belonging to the field of image processing. Said method comprises: training a generative adversarial network and a capsule neural network, so as to obtain a trained generator network and a trained capsule neural network (S101); and cascading the trained generator network and capsule neural network into a system, so as to identify and classify plaques in the magnetic resonance vessel wall imaging (S102). The present invention enables the vessel plaque feature information, represented by a vector, in the capsule neural network to be richer; and greatly improves the accuracy of identifying and classifying when the trained generator network and capsule neural network are cascaded into a system for identifying and classifying plaques in the magnetic resonance vessel wall imaging.
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