Preoperative prediction of lymphovascular invasion in patients with T1 breast invasive ductal carcinoma based on radiomics nomogram using grayscale ultrasound

Overview of attention for article published in Frontiers in oncology, December 2022

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So far, Dimensions has found 7 publications that cite this research output.

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The most recent citing publications are shown below. View all 7 publications that cite this research output on Dimensions.

Radiomics analysis combining gray-scale ultrasound and mammography for differentiating breast adenosis from invasive ductal carcinoma

Article in Frontiers in Oncology (July 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

Article in Journal of Ultrasound in Medicine (May 2024)

Ultrasound-Based Deep Learning Radiomics Nomogram for the Assessment of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study

Article in Academic Radiology (April 2024)

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