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Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer
Si Eun Lee, Yongsik Sim, Sungwon Kim, Eun-Kyung Kim
Ultrasonography. 2021;40(1):93-102.   Published online 2020 April 1    DOI: https://doi.org/10.14366/usg.20026

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Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer
Ultrasonography. 2021;40(1):93-102   Crossref logo
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Predictive Value of 18F-FDG PET/CT-Based Radiomics Model for Occult Axillary Lymph Node Metastasis in Clinically Node-Negative Breast Cancer
Diagnostics. 2022;12(4):997   Crossref logo
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Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer
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A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer
Frontiers in Oncology. 2022;12:   Crossref logo
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A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer
Breast Cancer. 2021;28(3):664-671   Crossref logo
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Can Nomograms Predict Preoperative Axillary Lymph Node Metastasis in Patients With Breast Cancer to Guide Second Look Ultrasonography?
Journal of Ultrasound in Medicine. 2017;37(6):1447-1453   Crossref logo
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Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI
Scientific Reports. 2019;9(1):   Crossref logo
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Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method
Scientific Reports. 2019;9(1):   Crossref logo
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Application of 18F-FDG PET/CT in preoperative evaluation of axillary lymph node metastasis of breast cancer
The Breast. 2019;44:S55   Crossref logo
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Incorporating ultrasound-based lymph node staging significantly improves the performance of a clinical nomogram for predicting preoperative axillary lymph node metastasis in breast cancer
Biomolecules and Biomedicine. 2023;   Crossref logo
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