Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size

The manual identification and segmentation of intracranial aneurysms (IAs) involved in the 3D reconstruction procedure are labor-intensive and prone to human errors. To meet the demands for routine clinical management and large cohort studies of IAs, fast and accurate patient-specific IA reconstruct...

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Detalles Bibliográficos
Autores principales: Zhu, Guangyu, Luo, Xueqi, Yang, Tingting, Cai, Li, Yeo, Joon Hock, Yan, Ge, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806214/
https://www.ncbi.nlm.nih.gov/pubmed/36601346
http://dx.doi.org/10.3389/fphys.2022.1084202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806214/
https://www.ncbi.nlm.nih.gov/pubmed/36601346
http://dx.doi.org/10.3389/fphys.2022.1084202

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