Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network

Intracranial aneurysm (IA) is an enormous threat to human health, which often results in nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly used computed tomographic angiography (CTA) examinations remains laborious and time consuming, leading to error-prone results...

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Detalles Bibliográficos
Autores principales: Bo, Zi-Hao, Qiao, Hui, Tian, Chong, Guo, Yuchen, Li, Wuchao, Liang, Tiantian, Li, Dongxue, Liao, Dan, Zeng, Xianchun, Mei, Leilei, Shi, Tianliang, Wu, Bo, Huang, Chao, Liu, Lu, Jin, Can, Guo, Qiping, Yong, Jun-Hai, Xu, Feng, Zhang, Tijiang, Wang, Rongpin, Dai, Qionghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892358/
https://www.ncbi.nlm.nih.gov/pubmed/33659913
http://dx.doi.org/10.1016/j.patter.2020.100197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892358/
https://www.ncbi.nlm.nih.gov/pubmed/33659913
http://dx.doi.org/10.1016/j.patter.2020.100197

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