Semi‐automated pulmonary nodule interval segmentation using the NLST data

PURPOSE: To study the variability in volume change estimates of pulmonary nodules due to segmentation approaches used across several algorithms and to evaluate these effects on the ability to predict nodule malignancy. METHODS: We obtained 100 patient image datasets from the National Lung Screening...

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Detaylı Bibliyografya
Yayımlandı:Med Phys
Asıl Yazarlar: Balagurunathan, Yoganand, Beers, Andrew, Kalpathy‐Cramer, Jayashree, McNitt‐Gray, Michael, Hadjiiski, Lubomir, Zhao, Bensheng, Zhu, Jiangguo, Yang, Hao, Yip, Stephen S.F., Aerts, Hugo J.W.L., Napel, Sandy, Cherezov, Dmitrii, Cha, Kenny, Chan, Heang‐Ping, Flores, Carlos, Garcia, Alberto, Gillies, Robert, Goldgof, Dmitry
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: John Wiley and Sons Inc. 2018
Konular:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5952359/
https://ncbi.nlm.nih.gov/pubmed/29363773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12766
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