Fully Automatic Classification of Brain Atrophy on NCCT Images in Cerebral Small Vessel Disease: A Pilot Study Using Deep Learning Models

OBJECTIVE: Brain atrophy is an important imaging characteristic of cerebral small vascular disease (CSVD). Our study explores the linear measurement application on CT images of CSVD patients and develops a fully automatic brain atrophy classification model. The second aim was to compare it with the...

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Detalles Bibliográficos
Autores principales: Wang, Jincheng, Chen, Sijie, Liang, Hui, Zhao, Yilei, Xu, Ziqi, Xiao, Wenbo, Zhang, Tingting, Ji, Renjie, Chen, Tao, Xiong, Bing, Chen, Feng, Yang, Jun, Lou, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989434/
https://www.ncbi.nlm.nih.gov/pubmed/35401411
http://dx.doi.org/10.3389/fneur.2022.846348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989434/
https://www.ncbi.nlm.nih.gov/pubmed/35401411
http://dx.doi.org/10.3389/fneur.2022.846348

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