Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset

In this study, we tested and compared radiomics and deep learning-based approaches on the public LUNG1 dataset, for the prediction of 2-year overall survival (OS) in non-small cell lung cancer patients. Radiomic features were extracted from the gross tumor volume using Pyradiomics, while deep featur...

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Detalles Bibliográficos
Autores principales: Braghetto, Anna, Marturano, Francesca, Paiusco, Marta, Baiesi, Marco, Bettinelli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391464/
https://www.ncbi.nlm.nih.gov/pubmed/35986072
http://dx.doi.org/10.1038/s41598-022-18085-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391464/
https://www.ncbi.nlm.nih.gov/pubmed/35986072
http://dx.doi.org/10.1038/s41598-022-18085-z

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