Development and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning
Author:
Funder
Beijing Municipal Administration of Hospitals' Ascent Plan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00330-024-11033-7.pdf
Reference37 articles.
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3. Cooper JS, Porter K, Mallin K et al (2009) National Cancer Database report on cancer of the head and neck: 10-year update. Head Neck 31:748–758
4. Wang XY, Yan F, Hao H, Wu JX, Chen QH, Xian JF (2015) Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging. Chin Med J 128:586–592
5. El-Gerby KM, El-Anwar MW (2017) Differentiating benign from malignant sinonasal lesions: feasibility of diffusion weighted MRI. Int Arch Otorhinolaryngol 21:358–365
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