Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer
about
Feature selection methodology for longitudinal cone-beam CT radiomics.Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms.Predicting survival time of lung cancer patients using radiomic analysis.Radiomics: the bridge between medical imaging and personalized medicine.Effect of tube current on computed tomography radiomic features.Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics.The Role of PET-Based Radiomic Features in Predicting Local Control of Esophageal Cancer Treated with Concurrent Chemoradiotherapy.Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapyComprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics StudiesThe role of delta radiomics in gastric cancer
P2860
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P2860
Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer
description
2017 nî lūn-bûn
@nan
2017 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Delta-radiomics features for t ...... in non-small cell lung cancer
@ast
Delta-radiomics features for t ...... in non-small cell lung cancer
@en
type
label
Delta-radiomics features for t ...... in non-small cell lung cancer
@ast
Delta-radiomics features for t ...... in non-small cell lung cancer
@en
prefLabel
Delta-radiomics features for t ...... in non-small cell lung cancer
@ast
Delta-radiomics features for t ...... in non-small cell lung cancer
@en
P2093
P2860
P50
P1433
P1476
Delta-radiomics features for t ...... in non-small cell lung cancer
@en
P2093
Aaron Kyle Jones
Daniel Gomez
David Followill
Dennis Mackin
Lifei Zhang
Peter Balter
Radhe Mohan
Zhongxing Liao
P2860
P2888
P356
10.1038/S41598-017-00665-Z
P407
P577
2017-04-03T00:00:00Z
P6179
1084130782