Segmentation of Cerebral Small Vessel Diseases-White Matter Hyperintensities Based on a Deep Learning System

Objective: Reliable quantification of white matter hyperintensities (WHMs) resulting from cerebral small vessel diseases (CSVD) is essential for understanding their clinical impact. We aim to develop and clinically validate a deep learning system for automatic segmentation of CSVD-WMH from fluid-att...

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Detalles Bibliográficos
Autores principales: Shan, Wei, Duan, Yunyun, Zheng, Yu, Wu, Zhenzhou, Chan, Shang Wei, Wang, Qun, Gao, Peiyi, Liu, Yaou, He, Kunlun, Wang, Yongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656685/
https://www.ncbi.nlm.nih.gov/pubmed/34901045
http://dx.doi.org/10.3389/fmed.2021.681183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656685/
https://www.ncbi.nlm.nih.gov/pubmed/34901045
http://dx.doi.org/10.3389/fmed.2021.681183

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