Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis
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Title
Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis
Authors
Keywords
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Journal
Cancers
Volume 13, Issue 17, Pages 4271
Publisher
MDPI AG
Online
2021-08-25
DOI
10.3390/cancers13174271
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- Validation in prediction research: the waste by data splitting
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- Breast Cancer, Version 4.2017, NCCN Clinical Practice Guidelines in Oncology
- (2018) William J. Gradishar et al. Journal of the National Comprehensive Cancer Network
- Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
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- Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
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