Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.

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Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

P2860

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P2860

Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.

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2016 nî lūn-bûn

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2016年の論文

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年學術文章

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2016年學術文章

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name

Interobserver variability in i ...... biomarkers and radiogenomics.

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Interobserver variability in i ...... biomarkers and radiogenomics.

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Interobserver variability in i ...... biomarkers and radiogenomics.

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Interobserver variability in i ...... biomarkers and radiogenomics.

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Interobserver variability in i ...... biomarkers and radiogenomics.

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Interobserver variability in i ...... biomarkers and radiogenomics.

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P1476

Interobserver variability in i ...... biomarkers and radiogenomics.

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P2093

Ashirbani Saha

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Connie Kim

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Maciej A Mazurowski

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Ruth Walsh

http://www.w3.org/2001/XMLSchema#string

Sujata V Ghate

http://www.w3.org/2001/XMLSchema#string

P2860

Breast MRI: EUSOBI recommendations for women's information

A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.

Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.

A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk.

Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study

Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.

A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations

Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes.

Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.

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4558

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scholarly article

P356

10.1118/1.4955435

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English

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P478

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Lars J Grimm

Michael R Harowicz

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2016-08-01T00:00:00Z

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27487872

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Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.

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P2860

P2860

Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.

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P1433

P1476

P2093

P2860

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P433

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P50

P577

P698

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P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698