Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
about
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.Radiomics in lung cancer: Its time is here.Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study.Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy.
P2860
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
description
2017 nî lūn-bûn
@nan
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
2017年论文
@zh
2017年论文
@zh-cn
name
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
@en
type
label
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
@en
prefLabel
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
@en
P2093
P2860
P356
P1433
P1476
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.
@en
P2093
Alexander Wong
Anastasia Oikonomou
Farzad Khalvati
Masoom A Haider
Yucheng Zhang
P2860
P2888
P356
10.1038/SREP46349
P407
P577
2017-04-18T00:00:00Z
P6179
1084905070