Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images

Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images

This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) images based on the deep convolutional neural network (Conv.Net) in the diagnosis of strokes. Specifically, four automatic segmentation algorithms were proposed to segment multimodal MRI images of stroke...

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Bibliographic Details
Main Authors: Yanyan Pan, Huiping Zhang, Jinsuo Yang, Jing Guo, Zhiguo Yang, Jianbing Wang, Ge Song
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Contrast Media & Molecular Imaging
Online Access:http://dx.doi.org/10.1155/2021/7598613

Internet

http://dx.doi.org/10.1155/2021/7598613

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