Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.
about
Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessmentRadiogenomic Analysis of Oncological Data: A Technical Survey.Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.An Update on the Approach to the Imaging of Brain Tumors.Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer.Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapyPET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology.Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinoma.Towards precision medicine: from quantitative imaging to radiomics.Distinct Radiomic Phenotypes Define Glioblastoma TP53-PTEN-EGFR Mutational Landscape.Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes.Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer.High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma.Imaging in neuro-oncology.Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypesApplication of Radiomics and Decision Support Systems for Breast MR Differential DiagnosisA New Challenge for Radiologists: Radiomics in Breast Cancer
P2860
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P2860
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Prediction of clinical phenoty ...... f radiomics and genomics data.
@ast
Prediction of clinical phenoty ...... f radiomics and genomics data.
@en
type
label
Prediction of clinical phenoty ...... f radiomics and genomics data.
@ast
Prediction of clinical phenoty ...... f radiomics and genomics data.
@en
prefLabel
Prediction of clinical phenoty ...... f radiomics and genomics data.
@ast
Prediction of clinical phenoty ...... f radiomics and genomics data.
@en
P2093
P2860
P356
P1476
Prediction of clinical phenoty ...... f radiomics and genomics data.
@en
P2093
Elizabeth Burnside
Gary Whitman
Karen Drukker
Maryellen L Giger
Shengjie Yang
Tcga Breast Phenotype Research Group
Wentian Guo
P2860
P304
P356
10.1117/1.JMI.2.4.041007
P577
2015-09-23T00:00:00Z