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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 |
Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer Predictive Value of 18F-FDG PET/CT-Based Radiomics Model for Occult Axillary Lymph Node Metastasis in Clinically Node-Negative Breast Cancer Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer Can Nomograms Predict Preoperative Axillary Lymph Node Metastasis in Patients With Breast Cancer to Guide Second Look Ultrasonography? Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method Application of 18F-FDG PET/CT in preoperative evaluation of axillary lymph node metastasis of breast cancer Incorporating ultrasound-based lymph node staging significantly improves the performance of a clinical nomogram for predicting preoperative axillary lymph node metastasis in breast cancer |
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