MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features.
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| Title: | MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features. |
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| Authors: | Mahmoud E; Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, Cairo, Egypt., Gass J; Radiology Department, University of Missouri, Columbia, MO, USA., Dhemesh Y; Department of Medicine, Washington University in Saint Louis, St. Louis, MO, USA., Greaser J; Radiology Department, University of Missouri, Columbia, MO, USA., Pogorzelski K; Radiology Department, University of Missouri, Columbia, MO, USA., Isufi E; Radiology Department, University of Missouri, Columbia, MO, USA. edvin.isufi@health.missouri.edu., Garrett F; Pathology Department, University of Missouri, Columbia, MO, USA., Thacker J; Radiology Department, University of Missouri, Columbia, MO, USA., Tahon NH; Radiology Department, University of Texas, Houston, TX, USA., Sinclair J; Pathology Department, University of Missouri, Columbia, MO, USA., Layfield L; Pathology Department, University of Missouri, Columbia, MO, USA., Altes T; Radiology Department, University of Missouri, Columbia, MO, USA., Nada A; Mallinckrodt Institute of Radiology, School of Medicine, Washington University in Saint Louis, St. Louis, MO, USA. anada@wustl.edu. |
| Source: | Scientific data [Sci Data] 2025 Nov 20; Vol. 12 (1), pp. 1847. Date of Electronic Publication: 2025 Nov 20. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-025-06011-7 |
