A coarse-to-fine cascade deep learning neural network for segmenting cerebral aneurysms in time-of-flight magnetic resonance angiography

BACKGROUND: Accurate segmentation of unruptured cerebral aneurysms (UCAs) is essential to treatment planning and rupture risk assessment. Currently, three-dimensional time-of-flight magnetic resonance angiography (3D TOF-MRA) has been the most commonly used method for screening aneurysms due to its...

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Detalles Bibliográficos
Autores principales: Chen, Meng, Geng, Chen, Wang, Dongdong, Zhou, Zhiyong, Di, Ruoyu, Li, Fengmei, Piao, Sirong, Zhang, Jiajun, Li, Yuxin, Dai, Yakang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513890/
https://www.ncbi.nlm.nih.gov/pubmed/36163014
http://dx.doi.org/10.1186/s12938-022-01041-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513890/
https://www.ncbi.nlm.nih.gov/pubmed/36163014
http://dx.doi.org/10.1186/s12938-022-01041-3

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