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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...
Gorde:
| Argitaratua izan da: | Tomography |
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| Egile Nagusiak: | , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7934702/ https://ncbi.nlm.nih.gov/pubmed/33681463 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/tomography7010005 |
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