Recognition of moyamoya disease and its hemorrhagic risk using deep learning algorithms: sourced from retrospective studies

Although intracranial hemorrhage in moyamoya disease can occur repeatedly, predicting the disease is difficult. Deep learning algorithms developed in recent years provide a new angle for identifying hidden risk factors, evaluating the weight of different factors, and quantitatively evaluating the ri...

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Detalles Bibliográficos
Autores principales: Lei, Yu, Zhang, Xin, Ni, Wei, Yang, Heng, Su, Jia-Bin, Xu, Bin, Chen, Liang, Yu, Jin-Hua, Gu, Yu-Xiang, Mao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178771/
https://www.ncbi.nlm.nih.gov/pubmed/33229716
http://dx.doi.org/10.4103/1673-5374.297085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178771/
https://www.ncbi.nlm.nih.gov/pubmed/33229716
http://dx.doi.org/10.4103/1673-5374.297085

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