A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients

PURPOSE: To develop and further validate a deep learning signature-based nomogram from computed tomography (CT) images for prediction of the overall survival (OS) in resected non-small cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: A total of 1792 deep learning features were extracted from...

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Detalles Bibliográficos
Autores principales: Lin, Ting, Mai, Jinhai, Yan, Meng, Li, Zhenhui, Quan, Xianyue, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019610/
https://www.ncbi.nlm.nih.gov/pubmed/33833572
http://dx.doi.org/10.2147/CMAR.S299020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019610/
https://www.ncbi.nlm.nih.gov/pubmed/33833572
http://dx.doi.org/10.2147/CMAR.S299020

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