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In this paper, we propose an end-to-end, more efficient brain tumor MRI segmentation model, REMU-Net, for the problems of multi-scale feature extraction and difficulty in small target feature extraction in 3D brain tumor image segmentation. Firstly, design and use the multi-channel parallel M-RepVGG module as a decoder to achieve multi-scale feature fusion. Secondly, embedding dilated convolution with different dilated rates in the DM-RepVGG module of the encoder to better extract features at different scales. Finally, introduce the expectation-maximizing attention in the network to better extract the features of the internal details of the tumor. The experimental results on the BraTS2018 validation dataset are Dice scores of 80.93%, 90.13%, and 86.15%, respectively. Experimental results on the BraTS2019 validation dataset can be achieved with Dice scores of 78.29%, 90.65%, and 82.77%, respectively. <\/jats:p>","DOI":"10.1142\/s0218126622502164","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T09:24:03Z","timestamp":1655889843000},"source":"Crossref","is-referenced-by-count":1,"title":["Remu-Net: Multi-Branch Net Framework for 3D Brain Tumor Segmentation"],"prefix":"10.1142","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1194-8203","authenticated-orcid":false,"given":"Zu-Min","family":"Wang","sequence":"first","affiliation":[{"name":"Dalian University, College of Information Engineering, Dalian, Liaoning, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9076-3738","authenticated-orcid":false,"given":"Lei","family":"Dong","sequence":"additional","affiliation":[{"name":"Dalian University, College of Information Engineering, Dalian, Liaoning, P.\u00a0R.\u00a0China"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dalian University, College of Information Engineering, Dalian, Liaoning, P.\u00a0R.\u00a0China"}]},{"given":"Bing","family":"Gao","sequence":"additional","affiliation":[{"name":"Dalian University, College of Information Engineering, Dalian, Liaoning, P.\u00a0R.\u00a0China"}]},{"given":"Zong-Kang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Dalian University, Key Lab of Advanced Design and Intelligent Computing (Ministry of Education), Dalian, Liaoning, P.\u00a0R.\u00a0China"}]},{"given":"Yu-Cong","family":"Duan","sequence":"additional","affiliation":[{"name":"Hainan University, College of Computer Science and Technology, Hainan, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2022,6,22]]},"reference":[{"key":"S0218126622502164BIB001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-019-56847-4","volume":"10","author":"Liu J.","year":"2020","journal-title":"Sci. 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