A meta-analysis of the diagnostic performance of machine learning-based MRI in the prediction of axillary lymph node metastasis in breast cancer patients

Overview of attention for article published in Insights into Imaging, November 2021

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (83rd percentile)
Good Attention Score compared to outputs of the same age and source (78th percentile)

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Summary News X Dimensions citations

So far, Dimensions has found 20 publications that cite this research output.

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The most recent citing publications are shown below. View all 20 publications that cite this research output on Dimensions.

Evaluating Machine Learning Classifiers in Breast Cancer: Non-Linear Contributions of MR Diffusion-Perfusion Features to Molecular-based Prognostic Stratification

Preprint in Research Square (March 2024)

The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis

Article in BMC Medical Informatics and Decision Making (February 2024)

Radiomic model based on magnetic resonance imaging for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer patients

Article in Frontiers in Oncology (January 2024)