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The first technique is Entropy\u2013Kurtosis-based High Feature Values (EKbHFV) and the second technique is a modified genetic algorithm (MGA) based on metaheuristics. The selected features of the GA are further refined by the proposed new threshold function. Finally, both EKbHFV and MGA-based features are fused using a non-redundant serial-based approach and classified using a multiclass SVM cubic classifier. For the experimental process, two datasets, including BRATS2018 and BRATS2019, are used without increase and have achieved an accuracy of more than 95%. The precise comparison of the proposed method with other neural nets shows the significance of this work.<\/jats:p>","DOI":"10.1007\/s40747-021-00321-0","type":"journal-article","created":{"date-parts":[[2021,3,9]],"date-time":"2021-03-09T06:46:23Z","timestamp":1615272383000},"page":"3007-3020","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":203,"title":["A decision support system for multimodal brain tumor classification using deep learning"],"prefix":"10.1007","volume":"8","author":[{"given":"Muhammad Imran","family":"Sharif","sequence":"first","affiliation":[]},{"given":"Muhammad Attique","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Musaed","family":"Alhussein","sequence":"additional","affiliation":[]},{"given":"Khursheed","family":"Aurangzeb","sequence":"additional","affiliation":[]},{"given":"Mudassar","family":"Raza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,9]]},"reference":[{"key":"321_CR1","doi-asserted-by":"publisher","first-page":"S173","DOI":"10.1148\/rg.26si065513","volume":"26","author":"RN Al-Okaili","year":"2006","unstructured":"Al-Okaili RN, Krejza J, Wang S, Woo JH, Melhem ER (2006) Advanced MR imaging techniques in the diagnosis of intraaxial brain tumors in adults. 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