An effective ensemble learning approach for classification of glioma grades based on novel MRI features

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Hassan, Mohammed Falih, Al-Zurfi, Ahmed Naser, Abed, Mohammed Hamzah and Ahmed, Khandakar ORCID: 0000-0003-1043-2029 (2024) An effective ensemble learning approach for classification of glioma grades based on novel MRI features. Scientific Reports, 14 (1). ISSN 2045-2322

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/48949
DOI 10.1038/s41598-024-61444-1
Official URL https://www.nature.com/articles/s41598-024-61444-1
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords brain tumors; tumor classifcation; ensemble learning; machine learning; novel MRI features
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