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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |