Identifying Robust Radiomics Features for Lung Cancer by Using In-Vivo and Phantom Lung Lesions
We propose a novel framework for determining radiomics feature robustness by considering the effects of both biological and noise signals. This framework is preliminarily tested in a study predicting the epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) pa...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-02-01
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| Colecção: | Tomography |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2379-139X/7/1/5 |
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