Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network

Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network

The patient with ischemic stroke can benefit most from the earliest possible definitive diagnosis. While a quantitative evaluation of the stroke lesions on the magnetic resonance images (MRIs) is effective in clinical diagnosis, manually segmenting the stroke lesions is commonly used, which is, howe...

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Bibliographic Details
Main Authors: Zhiyang Liu, Chen Cao, Shuxue Ding, Zhiang Liu, Tong Han, Sheng Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep learning
stroke lesion segmentation
residual network (ResNet)
convolutional neural network (CNN)
fully convolutional network (FCN)
Online Access:https://ieeexplore.ieee.org/document/8478270/

Internet

https://ieeexplore.ieee.org/document/8478270/

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