Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.
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| Title: | Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis. |
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| Authors: | Tavanaei R; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Akhlaghpasand M; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Alikhani A; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Ansari A; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran., Yong RL; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA., Margetis K; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA. konstantinos.margetis@mountsinai.org. |
| Source: | Neurosurgical review [Neurosurg Rev] 2025 Jan 24; Vol. 48 (1), pp. 78. Date of Electronic Publication: 2025 Jan 24. |
| Publication Type: | Journal Article; Meta-Analysis; Systematic Review |
| Journal Info: | Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1437-2320 |
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| DOI: | 10.1007/s10143-025-03236-3 |
