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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no: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
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2018
Assuntos:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados