Wen-xiao Li
Shihezi, China
Last Updated: 09/26/2026
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Found 8 publications
Machine learning-driven ultrasound radiomics for assessing axillary lymph node burden in breast cancer.
Journal: Frontiers in endocrinology
Published: December 20, 2024
Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis.
Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Published: April 10, 2024
Diagnostic value of different contrast-enhanced ultrasound (CEUS) methods for sentinel lymph node metastasis in patients with breast neoplasms: a meta-analysis and indirect comparison.
Journal: Quantitative imaging in medicine and surgery
Published: February 19, 2024
Artificial intelligence in thyroid ultrasound.
Journal: Frontiers in oncology
Published: October 03, 2022
Corrigendum: Ultrasound-based deep learning using the VGGNet model for the differentiation of benign and malignant thyroid nodules: A meta-analysis.
Journal: Frontiers in oncology
Published: September 30, 2022
Diagnostic value of multiple diagnostic methods for lymph node metastases of papillary thyroid carcinoma: A systematic review and meta-analysis.
Journal: Frontiers in oncology
Published: July 10, 2022
Ultrasound-based deep learning using the VGGNet model for the differentiation of benign and malignant thyroid nodules: A meta-analysis.
Journal: Frontiers in oncology
Published: May 15, 2022
Showing 1-8 of 8
Last Updated: 09/26/2026