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Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT
PURPOSE: To investigate the importance of presurgical computed tomography (CT) intensity and texture information from ground-glass opacities (GGO) and solid nodule components for the prediction of adenocarcinoma recurrence. METHODS: For this study, 101 patients with surgically resected stage I adeno...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4385100/ https://ncbi.nlm.nih.gov/pubmed/25832095 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4916088 |
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