Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography

Overview of attention for article published in Frontiers in oncology, September 2021

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So far, Dimensions has found 16 publications that cite this research output.

16

The most recent citing publications are shown below. View all 16 publications that cite this research output on Dimensions.

Clinical applications of radiomics and deep learning in breast and lung cancer: A narrative literature review on current evidence and future perspectives

Article in Critical Reviews in Oncology/Hematology (August 2024)

Deep-learning-based 3D super-resolution CT radiomics model: Predict the possibility of the micropapillary/solid component of lung adenocarcinoma

Article in Heliyon (July 2024)

3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer

Article in Journal of Breast Imaging (May 2024)

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