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Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction
Radiomic analysis has recently demonstrated versatile uses in improving diagnostic and prognostic prediction accuracy for lung cancer. However, since lung tumors are subject to substantial motion due to respiration, the stability of radiomic features over the respiratory cycle of the patient needs t...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504105/ https://www.ncbi.nlm.nih.gov/pubmed/31063500 http://dx.doi.org/10.1371/journal.pone.0216480 |