A deep learning algorithm with good prediction efficacy for cancer-specific survival in osteosarcoma: A retrospective study

OBJECTIVE: Successful prognosis is crucial for the management and treatment of osteosarcoma (OSC). This study aimed to predict the cancer-specific survival rate in patients with OSC using deep learning algorithms and classical Cox proportional hazard models to provide data to support individualized...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Xie, Lang, Wang, Dingxue, Xia, Kaide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538762/
https://www.ncbi.nlm.nih.gov/pubmed/37768965
http://dx.doi.org/10.1371/journal.pone.0286841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538762/
https://www.ncbi.nlm.nih.gov/pubmed/37768965
http://dx.doi.org/10.1371/journal.pone.0286841

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