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Three pretrained CNN architectures, namely AlexNet, VGG16 and GoogLeNet are employed to equip with skip connections. The transfer learning is implemented through fine\u2010tuning and freezing the CNN architectures with skip connections based on magnetic resonance imaging (MRI) slices of brain tumor dataset. Furthermore, in the preprocessing, a frequency\u2010domain information enhancement technique is employed for better image clarity. Performance evaluation is conducted on the transfer learning networks with skip connections to obtain improved accuracy in brain MRI classifications.<\/jats:p>","DOI":"10.1002\/ima.22546","type":"journal-article","created":{"date-parts":[[2021,2,8]],"date-time":"2021-02-08T01:17:18Z","timestamp":1612747038000},"page":"1564-1582","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Transfer learning networks with skip connections for classification of brain tumors"],"prefix":"10.1002","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3695-8961","authenticated-orcid":false,"given":"Saleh","family":"Alaraimi","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, College of Engineering National University of Science and Technology  Muscat Oman"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9635-1029","authenticated-orcid":false,"given":"Kenneth E.","family":"Okedu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, College of Engineering National University of Science and Technology  Muscat Oman"}]},{"given":"Hugo","family":"Tianfield","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering and Built Environment Glasgow Caledonian University  Glasgow UK"}]},{"given":"Richard","family":"Holden","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering and Built Environment Glasgow Caledonian University  Glasgow UK"}]},{"given":"Omair","family":"Uthmani","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering and Built Environment Glasgow Caledonian University  Glasgow UK"}]}],"member":"311","published-online":{"date-parts":[[2021,2,4]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.5772\/53217"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1801-8"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/450341"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57760-9_5"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.18383\/j.tom.2017.00020"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.4251\/wjgo.v11.i12.1218"},{"issue":"1","key":"e_1_2_8_8_1","first-page":"53","article-title":"A CADe system for gliomas in brain MRI using convolutional neural networks","volume":"3","author":"Banerjee S","year":"2018","journal-title":"arXiv Preprint"},{"key":"e_1_2_8_9_1","doi-asserted-by":"crossref","unstructured":"CarassA WheelerMB CuzzocreoJ BazinPL BassettSS PrinceJL.A joint registration and segmentation approach to skull stripping. 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