Interpretable deep learning survival predictive tool for small cell lung cancer

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive and almost universally lethal neoplasm. There is no accurate predictive method for its prognosis. Artificial intelligence deep learning may bring new hope. METHODS: By searching the Surveillance, Epidemiology, and End Results database (SEER)...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Dongrui, Lu, Baohua, Liang, Bowen, Li, Bo, Wang, Ziyu, Gu, Meng, Jia, Wei, Pan, Yuanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196231/
https://www.ncbi.nlm.nih.gov/pubmed/37213271
http://dx.doi.org/10.3389/fonc.2023.1162181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196231/
https://www.ncbi.nlm.nih.gov/pubmed/37213271
http://dx.doi.org/10.3389/fonc.2023.1162181

Ejemplares similares