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Additionally, the study explores the significance of the PTE region in enhancing the grading process.\n                    <jats:italic>Main results.<\/jats:italic>\n                    The proposed method demonstrates excellent grading accuracy and robustness on a dataset of 98 meningioma patients. It achieves an accuracy of 92.86%, precision of 93.44%, sensitivity of 95%, and specificity of 89.47%.\n                    <jats:italic>Significance.<\/jats:italic>\n                    This study provides valuable insights into preoperative meningioma grading by introducing an innovative method that combines radiomics and deep learning techniques. The approach not only enhances accuracy but also reduces observer subjectivity, thereby contributing to improved clinical decision-making processes.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ad3cb1","type":"journal-article","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:23:19Z","timestamp":1712690599000},"page":"105002","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions"],"prefix":"10.1088","volume":"69","author":[{"given":"Zhuo","family":"Zhang","sequence":"first","affiliation":[{"name":"Tiangong University"},{"name":"National University of Defense Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Miao","sequence":"additional","affiliation":[{"name":"Qufu Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JiXuan","family":"Wu","sequence":"additional","affiliation":[{"name":"Tiangong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin Cerebral Vascular and Neural Degenerative Disease Key Laboratory, Tianjin Huanhu Hospital, Tianjin, 300350,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quanfeng","family":"Ma","sequence":"additional","affiliation":[{"name":"Tianjin Cerebral Vascular and Neural Degenerative Disease Key Laboratory, Tianjin Huanhu Hospital, Tianjin, 300350,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Bai","sequence":"additional","affiliation":[{"name":"Tiangong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Tiangong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,4,26]]},"reference":[{"key":"pmbad3cb1bib1","article-title":"Layer normalization","author":"Ba","year":"2016","type":"preprint"},{"key":"pmbad3cb1bib2","first-page":"248","type":"journal-article","article-title":"Prognostic characterization of higher-grade meningiomas: a histopathological score to predict progression and outcome","volume":"78","author":"Bertero","year":"2019","journal-title":"J. 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