White matter hyperintensities segmentation using an ensemble of neural networks

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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, Li, Zixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764480/
https://www.ncbi.nlm.nih.gov/pubmed/34704337
http://dx.doi.org/10.1002/hbm.25695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764480/
https://www.ncbi.nlm.nih.gov/pubmed/34704337
http://dx.doi.org/10.1002/hbm.25695

Ejemplares similares