A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography is recommended as the standard diagnosis tool; yet, interpretation can be time-consuming and challenging. We present a specific deep-learning-based model trained on 1,177 digital subtraction angiography verif...

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Detalles Bibliográficos
Autores principales: Shi, Zhao, Miao, Chongchang, Schoepf, U. Joseph, Savage, Rock H., Dargis, Danielle M., Pan, Chengwei, Chai, Xue, Li, Xiu Li, Xia, Shuang, Zhang, Xin, Gu, Yan, Zhang, Yonggang, Hu, Bin, Xu, Wenda, Zhou, Changsheng, Luo, Song, Wang, Hao, Mao, Li, Liang, Kongming, Wen, Lili, Zhou, Longjiang, Yu, Yizhou, Lu, Guang Ming, Zhang, Long Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705757/
https://www.ncbi.nlm.nih.gov/pubmed/33257700
http://dx.doi.org/10.1038/s41467-020-19527-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705757/
https://www.ncbi.nlm.nih.gov/pubmed/33257700
http://dx.doi.org/10.1038/s41467-020-19527-w

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