Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features.
about
A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung CancerNoninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study.Evaluation of an iterative model-based CT reconstruction algorithm by intra-patient comparison of standard and ultra-low-dose examinations.Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility.
P2860
Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Variability in CT lung-nodule ...... ty and texture based features.
@en
Variability in CT lung-nodule ...... ty and texture based features.
@nl
type
label
Variability in CT lung-nodule ...... ty and texture based features.
@en
Variability in CT lung-nodule ...... ty and texture based features.
@nl
prefLabel
Variability in CT lung-nodule ...... ty and texture based features.
@en
Variability in CT lung-nodule ...... ty and texture based features.
@nl
P2093
P2860
P356
P1433
P1476
Variability in CT lung-nodule ...... ty and texture based features.
@en
P2093
P2860
P356
10.1118/1.4954845
P407
P577
2016-08-01T00:00:00Z