Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation

SIMPLE SUMMARY: Few significant advances have been made over recent decades in predicting lung cancer progression risk after complete surgical removal of tumor in stage IA non-small-cell lung cancers (NSCLCs). Although several biomarkers have shown some predictive value, it is unclear whether these...

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Detalles Bibliográficos
Autores principales: Huang, Peng, Illei, Peter B., Franklin, Wilbur, Wu, Pei-Hsun, Forde, Patrick M., Ashrafinia, Saeed, Hu, Chen, Khan, Hamza, Vadvala, Harshna V., Shih, Ie-Ming, Battafarano, Richard J., Jacobs, Michael A., Kong, Xiangrong, Lewis, Justine, Yan, Rongkai, Chen, Yun, Housseau, Franck, Rahmim, Arman, Fishman, Elliot K., Ettinger, David S., Pienta, Kenneth J., Wirtz, Denis, Brock, Malcolm V., Lam, Stephen, Gabrielson, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454871/
https://www.ncbi.nlm.nih.gov/pubmed/36077686
http://dx.doi.org/10.3390/cancers14174150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454871/
https://www.ncbi.nlm.nih.gov/pubmed/36077686
http://dx.doi.org/10.3390/cancers14174150

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