相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Machine learning in breast MRI
Beatriu Reig et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2020)
Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence
Rhea D. Chitalia et al.
CLINICAL CANCER RESEARCH (2020)
Grayscale Ultrasound Radiomic Features and Shear-Wave Elastography Radiomic Features in Benign and Malignant Breast Masses
Ji Hyun Youk et al.
ULTRASCHALL IN DER MEDIZIN (2020)
Oncotype DX Breast Recurrence Score(R): A Review of its Use in Early-Stage Breast Cancer
Yahiya Y. Syed
MOLECULAR DIAGNOSIS & THERAPY (2020)
Prognostic value of depression and anxiety on breast cancer recurrence and mortality: a systematic review and meta-analysis of 282,203 patients
Xuan Wang et al.
MOLECULAR PSYCHIATRY (2020)
Prognostic models for breast cancer: a systematic review
Minh Tung Phung et al.
BMC CANCER (2019)
Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer
Fei-Hong Yu et al.
EUROPEAN JOURNAL OF RADIOLOGY (2019)
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
J. Ferlay et al.
INTERNATIONAL JOURNAL OF CANCER (2019)
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives
Ji Eun Park et al.
KOREAN JOURNAL OF RADIOLOGY (2019)
Radiomics Analysis on Ultrasound for Prediction of Biologic Behavior in Breast Invasive Ductal Carcinoma
Yi Guo et al.
CLINICAL BREAST CANCER (2018)
Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer
Hyunjin Park et al.
CLINICAL CANCER RESEARCH (2018)
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival early on in neoadjuvant treatment of breast cancer
Karen Drukker et al.
CANCER IMAGING (2018)
Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis
Shih-ying Huang et al.
NPJ BREAST CANCER (2018)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
Extending Aromatase-Inhibitor Adjuvant Therapy to 10 Years
P. E. Goss et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays
Hui Li et al.
RADIOLOGY (2016)
Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer
Yanqi Huang et al.
RADIOLOGY (2016)
Recommendations for Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Update
Antonio C. Wolff et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2014)
Breast Cancer Multifocality and Multicentricity and Locoregional Recurrence
Siobhan P. Lynch et al.
ONCOLOGIST (2013)
Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?
Fergus Davnall et al.
INSIGHTS INTO IMAGING (2012)
Strategies for subtypes-dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011
A. Goldhirsch et al.
ANNALS OF ONCOLOGY (2011)
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
Michael J. Pencina et al.
STATISTICS IN MEDICINE (2011)
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
Stephen B. Edge et al.
ANNALS OF SURGICAL ONCOLOGY (2010)
Decision curve analysis: A novel method for evaluating prediction models
Andrew J. Vickers et al.
MEDICAL DECISION MAKING (2006)
Concordance probability and discriminatory power in proportional hazards regression
M Gönen et al.
BIOMETRIKA (2005)
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
J Gui et al.
BIOINFORMATICS (2005)
X-tile: A new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization
RL Camp et al.
CLINICAL CANCER RESEARCH (2004)
分享论文
