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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer - Medknow
2020
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| Materias: | |
| 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 |