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METHOD AND DEVICE OF PROCESSING PLAQUES IN MAGNETIC RESONANCE IMAGING OF VESSEL WALL, AND COMPUTER DEVICE

机译:血管壁磁共振成像中斑块的处理方法,装置及计算机装置

摘要

A method of processing plaques in magnetic resonance imaging of vessel wall include: step S101, training a generative adversarial network and a capsule neural network to obtain a trained generator network and a trained capsule neural network; and step S102, cascade-connecting the trained generator network with the capsule neural network into a system to recognize and classify plaques in magnetic resonance imaging of vessel wall. In one aspect, the capsule neural network has more abundant vascular plaques characteristic information represented by vector; in another aspect, when the trained generator network and the capsule neural network are cascaded into the system to recognize and classify the plaques in magnetic resonance imaging of vessel wall, an accuracy of recognition and classification may be greatly improved. A device for processing the method as well as a computer for implementing are also disclosed.
机译:一种在血管壁的磁共振成像中处理斑块的方法,包括:步骤S 101,训练生成对抗网络和胶囊神经网络,以获得训练后的发生器网络和训练后的胶囊神经网络。步骤S 102 ,将经过训练的发生器网络与胶囊神经网络级联到系统中,以识别和分类血管壁磁共振成像中的斑块。一方面,胶囊神经网络具有更丰富的由矢量代表的血管斑块特征信息。另一方面,当将训练有素的发电机网络和胶囊神经网络级联到系统中以识别和分类血管壁的磁共振成像中的斑块时,可以大大提高识别和分类的准确性。还公开了一种用于处理该方法的设备以及一种用于实现的计算机。

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