White matter hyperintensities segmentation using an ensemble of neural networks
White matter hyperintensities segmentation using an ensemble of neural networks
About this item
Full title
Author / Creator
Li, Xinxin , Zhao, Yu , Jiang, Jiyang , Cheng, Jian , Zhu, Wanlin , Wu, Zhenzhou , Jing, Jing , Zhang, Zhe , Wen, Wei , Sachdev, Perminder S. , Wang, Yongjun , Liu, Tao and Li, Zixiao
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
White matter hyperintensities (WMHs) represent the most common neuroimaging marker of cerebral small vessel disease (CSVD). The volume and location of WMHs are important clinical measures. We present a pipeline using deep fully convolutional network and ensemble models, combining U‐Net, SE‐Net, and multi‐scale features, to automatically segment WMH...
Alternative Titles
Full title
White matter hyperintensities segmentation using an ensemble of neural networks
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8764480
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8764480
Other Identifiers
ISSN
1065-9471
E-ISSN
1097-0193
DOI
10.1002/hbm.25695
