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Predicting survival time of lung cancer patients using radiomic analysis
OBJECTIVES: This study investigates the prediction of Non-small cell lung cancer (NSCLC) patient survival outcomes based on radiomic texture and shape features automatically extracted from tumor image data. MATERIALS AND METHODS: Retrospective analysis involves CT scans of 315 NSCLC patients from Th...
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| Gepubliceerd in: | Oncotarget |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Impact Journals LLC
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5732814/ https://ncbi.nlm.nih.gov/pubmed/29262648 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.22251 |
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