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The semicircular canals are three membranous tubes, each forming approximately two\u2010thirds of a circle with a diameter of approximately 6.5\u2009mm, and segmenting them accurately is of great benefit for auxiliary diagnosis, surgery, and treatment of vestibular disease. However, the semicircular canal has small volume, which accounts for less than 1% of the overall computed tomography image. Doctors have to annotate the image in a slice\u2010by\u2010slice manner, which is time\u2010consuming and labor\u2010intensive. To solve this problem, we propose a novel 3D convolutional neural network based on 3D U\u2010Net to automatically segment the semicircular canal. We added the spatial attention mechanism of 3D spatial squeeze and excitation modules, as well as channel attention mechanism of 3D global attention upsample modules to improve the network performance. Our network achieved an average dice coefficient of 92.5% on the test dataset, which shows competitive performance in semicircular canals segmentation task.<\/jats:p>","DOI":"10.1155\/2021\/9654059","type":"journal-article","created":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T20:50:08Z","timestamp":1631134208000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Automatic Semicircular Canal Segmentation of CT Volumes Using Improved 3D U\u2010Net with Attention Mechanism"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5736-5743","authenticated-orcid":false,"given":"Hongcheng","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2783-6065","authenticated-orcid":false,"given":"Juanxiu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0518-4956","authenticated-orcid":false,"given":"Gui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4370-3051","authenticated-orcid":false,"given":"Weixing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8098-4369","authenticated-orcid":false,"given":"Ruqian","family":"Hao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6523-1665","authenticated-orcid":false,"given":"Lin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4516-256X","authenticated-orcid":false,"given":"Guangming","family":"Ni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1725-3034","authenticated-orcid":false,"given":"Yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5255-8610","authenticated-orcid":false,"given":"Xiaowen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9496-4083","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,9,8]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1177\/0194599811400007"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.3389\/fncel.2018.00456"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2016-0058"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10162-005-0003-x"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/lary.26115"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.01.005"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106765"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2009.11.020"},{"key":"e_1_2_10_9_2","doi-asserted-by":"crossref","unstructured":"Jun TangA. 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