A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients

Traditional histopathology performed by pathologists through naked eyes is insufficient for accurate survival prediction of bladder cancer (BCa). In addition, how neutrophil to lymphocyte ratio (NLR) could be used for prognosis prediction of BCa patients has not been fully understood. In this study,...

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Gardado en:
Detalles Bibliográficos
Publicado en:Front Oncol
Main Authors: Chen, Siteng, Jiang, Liren, Zhang, Encheng, Hu, Shanshan, Wang, Tao, Gao, Feng, Zhang, Ning, Wang, Xiang, Zheng, Junhua
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2021
Assuntos:
Oncology
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8247435/
https://ncbi.nlm.nih.gov/pubmed/34222026
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.703033
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