Distinguishing Granulomas from Adenocarcinomas by integrating stable and discriminating radiomic features on non-Contrast CT scans

OBJECTIVE: To identify stable and discriminating radiomic features on non-contrast CT scans to develop more generalizable radiomic classifiers for distinguishing granulomas from adenocarcinomas. METHODS: In total, 412 patients with adenocarcinomas and granulomas from three institutions were retrospe...

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Veröffentlicht in:Eur J Cancer
Hauptverfasser: Khorrami, Mohammadhadi, Bera, Kaustav, Thawani, Rajat, Rajiah, Prabhakar, Gupta, Amit, Fu, Pingfu, Linden, Philip, Pennell, Nathan, Jacono, Frank, Gilkeson, Robert C., Velcheti, Vamsidhar, Madabhushi, Anant
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2021
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8087632/
https://ncbi.nlm.nih.gov/pubmed/33743483
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejca.2021.02.008
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