Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.
about
DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence.Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer.Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation.Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.Radiomics and radiogenomics for precision radiotherapy.Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer
P2860
Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.
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
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@en
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@nl
type
label
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@en
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@nl
prefLabel
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@en
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@nl
P2093
P2860
P1476
Unsupervised Clustering of Qua ...... gnoses and Molecular Pathways.
@en
P2093
Allison W Kurian
Bailiang Li
Debra M Ikeda
Guohong Cao
Ruijiang Li
Xiaoli Sun
P2860
P304
P356
10.1158/1078-0432.CCR-16-2415
P407
P577
2017-01-10T00:00:00Z