Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration

Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration

Introduction The study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography (CEM) and ultrasound (US) breast imaging reporti...

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Main Authors: Weimin Xu PhD, Bowen Zheng MS, Chanjuan Wen PhD, Hui Zeng MS, Sina Wang MS, Zilong He PhD, Xin Liao MS, Weiguo Chen MS, Yingjia Li PhD, Genggeng Qin PhD
Format: Article
Language:English
Published: SAGE Publishing 2025-04-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338251334735
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https://doi.org/10.1177/15330338251334735

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