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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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Detaylı Bibliyografya
Yayımlandı:Med Phys
Asıl Yazarlar: Depeursinge, Adrien, Yanagawa, Masahiro, Leung, Ann N., Rubin, Daniel L.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Association of Physicists in Medicine 2015
Konular:
Online Erişim: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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