{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:03:55Z","timestamp":1750309435554,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T00:00:00Z","timestamp":1718928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,21]]},"DOI":"10.1145\/3690407.3690476","type":"proceedings-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T18:55:28Z","timestamp":1729796128000},"page":"410-414","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Neuron Cell Body Segmentation with TransUNet"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3727-3828","authenticated-orcid":false,"given":"Jieyuan","family":"Hu","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Guangxi Normal University, Guilin, Guangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5825-0143","authenticated-orcid":false,"given":"Xuqing","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Guangxi Normal University, Guilin, Guangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5231-2548","authenticated-orcid":false,"given":"Qiuyi","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Guangxi Normal University, Guilin, Guangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-1507","authenticated-orcid":false,"given":"Xiaohu","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Nonlinear Circuit and Optical Communication (Guangxi Normal University), Education Department of Guangxi Zhuang Autonomous Region, Guilin, Guangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,24]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Cell detection from imperfect annotation by pseudo label selection using P-classification.\" Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021:  24th International Conference","author":"Fujii Kazuma","year":"2021","unstructured":"Fujii, Kazuma, et al. \"Cell detection from imperfect annotation by pseudo label selection using P-classification.\" Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part VIII 24. Springer International Publishing, 2021."},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-50137-9"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","first-page":"e0121886","DOI":"10.1371\/journal.pone.0121886","article-title":"Automated detection of soma location and morphology in neuronal network cultures","volume":"4","author":"Ozcan Burcin","year":"2015","unstructured":"Ozcan, Burcin, et al. \"Automated detection of soma location and morphology in neuronal network cultures.\" PloS one 10.4, 2015: e0121886.","journal-title":"PloS one 10"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-017-9353-x"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab716"},{"key":"e_1_3_3_1_6_2","volume-title":"Biological Instance Segmentation with a Superpixel-Guided Graph.\" IJCAI","author":"Liu Xiaoyu","year":"2022","unstructured":"Liu, Xiaoyu, et al. \"Biological Instance Segmentation with a Superpixel-Guided Graph.\" IJCAI. 2022."},{"key":"e_1_3_3_1_7_2","first-page":"2736","article-title":"Weakly supervised cell segmentation by point annotation","volume":"10","author":"Zhao Tianyi","year":"2020","unstructured":"Zhao, Tianyi, and Zhaozheng Yin. \"Weakly supervised cell segmentation by point annotation.\" IEEE Transactions on Medical Imaging 40.10, 2020: 2736-2747.","journal-title":"IEEE Transactions on Medical Imaging 40"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3176050"},{"key":"e_1_3_3_1_9_2","volume-title":"Transunet: Transformers make strong encoders for medical image segmentation.\" arXiv preprint arXiv:2102.04306","author":"Chen Jieneng","year":"2021","unstructured":"Chen, Jieneng, et al. \"Transunet: Transformers make strong encoders for medical image segmentation.\" arXiv preprint arXiv:2102.04306, 2021."},{"key":"e_1_3_3_1_10_2","unstructured":"Kingma Diederik P. and Max Welling. \"Auto-encoding variational bayes.\" arXiv preprint arXiv:1312.6114 2013."},{"key":"e_1_3_3_1_11_2","volume-title":"Attentional feature fusion.\" Proceedings of the IEEE\/CVF winter conference on applications of computer vision","author":"Dai Yimian","year":"2021","unstructured":"Dai, Yimian, et al. \"Attentional feature fusion.\" Proceedings of the IEEE\/CVF winter conference on applications of computer vision. 2021."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2016.09.007"},{"key":"e_1_3_3_1_13_2","volume-title":"Convolutional networks for biomedical image segmentation.\" Medical image computing and computer-assisted intervention\u2013MICCAI 2015:  18th international conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. \"U-net: Convolutional networks for biomedical image segmentation.\" Medical image computing and computer-assisted intervention\u2013MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. Springer International Publishing, 2015."},{"key":"e_1_3_3_1_14_2","volume-title":"Transunet: Transformers make strong encoders for medical image segmentation.\" arXiv preprint arXiv:2102.04306","author":"Chen Jieneng","year":"2021","unstructured":"Chen, Jieneng, et al. \"Transunet: Transformers make strong encoders for medical image segmentation.\" arXiv preprint arXiv:2102.04306, 2021."},{"key":"e_1_3_3_1_15_2","volume-title":"Swin-unet: Unet-like pure transformer for medical image segmentation.\" European conference on computer vision","author":"Cao Hu","year":"2022","unstructured":"Cao, Hu, et al. \"Swin-unet: Unet-like pure transformer for medical image segmentation.\" European conference on computer vision. Cham: Springer Nature Switzerland, 2022."}],"event":{"name":"CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","acronym":"CAIBDA 2024","location":"Zhengzhou China"},"container-title":["Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690476","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3690407.3690476","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:09:37Z","timestamp":1750295377000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690476"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,21]]},"references-count":15,"alternative-id":["10.1145\/3690407.3690476","10.1145\/3690407"],"URL":"https:\/\/doi.org\/10.1145\/3690407.3690476","relation":{},"subject":[],"published":{"date-parts":[[2024,6,21]]},"assertion":[{"value":"2024-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}