Quality of radiomics research: comprehensive analysis of 1574 unique publications from 89 reviews
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00330-024-11057-z.pdf
Reference17 articles.
1. Lambin P, Rios-Velazquez E, Leijenaar R et al (2012) Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 48:441–446. https://doi.org/10.1016/j.ejca.2011.11.036
2. Zhong J, Lu J, Zhang G et al (2023) An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation. Insights Imaging 14:111. https://doi.org/10.1186/s13244-023-01437-2
3. Huang EP, O’Connor JPB, McShane LM et al (2023) Criteria for the translation of radiomics into clinically useful tests. Nat Rev Clin Oncol 20:69–82. https://doi.org/10.1038/s41571-022-00707-0
4. Cobo M, Menéndez Fernández-Miranda P, Bastarrika G, Lloret Iglesias L (2023) Enhancing radiomics and deep learning systems through the standardization of medical imaging workflows. Sci Data 10:732. https://doi.org/10.1038/s41597-023-02641-x
5. Fusco R, Granata V, Grazzini G et al (2022) Radiomics in medical imaging: pitfalls and challenges in clinical management. Jpn J Radiol 40:919–929. https://doi.org/10.1007/s11604-022-01271-4
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