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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Bibliografiske detaljer
Udgivet i:Med Phys
Main Authors: 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
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2018
Fag:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
Online adgang: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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