Unsupervised clustering of quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and molecular pathways

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - Clinical Cancer …, 2017 - AACR
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …
被引用次数：100 相关文章

Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - Clinical Cancer …, 2017 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Purpose: To identify novel breast cancer
subtypes by extracting quantitative imaging phenotypes of the tumor and surrounding …

Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

J Wu, Y Cui, X Sun, G Cao, B Li… - … : an official journal …, 2017 - pubmed.ncbi.nlm.nih.gov
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …

Unsupervised clustering of Quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and Molecular pathways

J Wu, Y Cui, X Sun, G Cao, B Li… - Clinical Cancer …, 2017 - mdanderson.elsevierpure.com
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …

Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - … Cancer Research: an …, 2017 - europepmc.org
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …
[PDF] researchgate.net

[PDF][PDF] Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - Clin Cancer …, 2017 - researchgate.net
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …
[HTML] nih.gov

[HTML][HTML] Unsupervised clustering of quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and molecular pathways

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - … cancer research: an …, 2017 - ncbi.nlm.nih.gov
Purpose To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma, and to elucidate the underlying …

Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.

J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda… - … Cancer Research: an …, 2017 - europepmc.org
Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging
phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying …