Deep Learning for the Prediction of the Survival of Midline Diffuse Glioma with an H3K27M Alteration

Background: The prognosis of diffuse midline glioma (DMG) patients with H3K27M (H3K27M-DMG) alterations is poor; however, a model that encourages accurate prediction of prognosis for such lesions on an individual basis remains elusive. We aimed to construct an H3K27M-DMG survival model based on Deep...

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Detalles Bibliográficos
Autores principales: Huang, Bowen, Chen, Tengyun, Zhang, Yuekang, Mao, Qing, Ju, Yan, Liu, Yanhui, Wang, Xiang, Li, Qiang, Lei, Yinjie, Ren, Yanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605651/
https://www.ncbi.nlm.nih.gov/pubmed/37891850
http://dx.doi.org/10.3390/brainsci13101483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605651/
https://www.ncbi.nlm.nih.gov/pubmed/37891850
http://dx.doi.org/10.3390/brainsci13101483

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