{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:21Z","timestamp":1750220901101,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T00:00:00Z","timestamp":1575590400000},"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":[[2019,12,6]]},"DOI":"10.1145\/3374587.3374624","type":"proceedings-article","created":{"date-parts":[[2020,3,4]],"date-time":"2020-03-04T18:16:31Z","timestamp":1583345791000},"page":"206-210","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Terminal Bulb Segmentation of Caenorhabditis Elegans under Small Samples Based on Two-stage U-Net Network"],"prefix":"10.1145","author":[{"given":"Si","family":"Cao","sequence":"first","affiliation":[{"name":"Hubei Province Key Laboratory of Intelligent, Information Processing and Real-time Industrial, Department of Computer Science and Technology, Wuhan University of Science and technology, Wuhan, China"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"Hubei Province Key Laboratory of Intelligent, Information Processing and Real-time Industrial, Department of Computer Science and Technology, Wuhan University of Science and technology, Wuhan, China"}]}],"member":"320","published-online":{"date-parts":[[2020,3,4]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1016\/0092-8674(86)90004-8"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1371\/journal.pgen.1002047"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1093\/bioinformatics\/btp571"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1073\/pnas.0400848101"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1109\/ICIP.2016.7533048"},{"key":"e_1_3_2_1_6_1","first-page":"5","article-title":"Transfer learning for visual categorization: A survey","volume":"26","author":"Shao L.","year":"2014","unstructured":"Shao , L. , Zhu , F. and Li , X. 2014 . Transfer learning for visual categorization: A survey . IEEE Trans. Neural Networks Learn. Syst. 26 , 5 (Jul. 2014) 1019--1034.DOI= https:\/\/doi.org\/10.1109\/TNNLS.2014.2330900. 10.1109\/TNNLS.2014.2330900 Shao, L., Zhu, F. and Li, X. 2014. Transfer learning for visual categorization: A survey. IEEE Trans. Neural Networks Learn. Syst. 26, 5 (Jul. 2014) 1019--1034.DOI= https:\/\/doi.org\/10.1109\/TNNLS.2014.2330900.","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"volume-title":"International Conference on Medical image computing and computer-assisted intervention. (234--241)","author":"Ronneberger O.","unstructured":"Ronneberger , O. , Fischer , P. and Brox , T . 2015, October. Unet: Convolutional networks for biomedical image segmentation . In International Conference on Medical image computing and computer-assisted intervention. (234--241) . Springer, Cham. DOI= https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28. 10.1007\/978-3-319-24574-4_28 Ronneberger, O., Fischer, P. and Brox, T. 2015, October. Unet: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention. (234--241). Springer, Cham. DOI= https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28.","key":"e_1_3_2_1_7_1"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 3431--3440","author":"Long J.","unstructured":"Long , J. , Shelhamer , E. and Darrell , T . 2015. Fully convolutional networks for semantic segmentation . In Proceedings of the IEEE conference on computer vision and pattern recognition. 3431--3440 . Long, J., Shelhamer, E. and Darrell, T. 2015. Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 3431--3440.","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","volume-title":"April. Automatic Lung Segmentation on Thoracic CT Scans Using U-Net Convolutional Network. In 2018 International Conference on Communication and Signal Processing (ICCSP). (0643--0647)","author":"Shaziya H.","year":"2018","unstructured":"Shaziya , H. , Shyamala , K. and Zaheer , R . 2018 , April. Automatic Lung Segmentation on Thoracic CT Scans Using U-Net Convolutional Network. In 2018 International Conference on Communication and Signal Processing (ICCSP). (0643--0647) . DOI=https:\/\/doi.org\/10.1109\/ICCSP. 2018 .8524484. 10.1109\/ICCSP.2018.8524484 Shaziya, H., Shyamala, K. and Zaheer, R. 2018, April. Automatic Lung Segmentation on Thoracic CT Scans Using U-Net Convolutional Network. In 2018 International Conference on Communication and Signal Processing (ICCSP). (0643--0647). DOI=https:\/\/doi.org\/10.1109\/ICCSP.2018.8524484."},{"doi-asserted-by":"crossref","unstructured":"Taha A.A. and Hanbury A. 2015. Metrics for evaluating 3D medical image segmentation: analysis selection and tool. BMC medical imaging. 15 1(Dec. 2015) 29.DOI= https:\/\/doi.org\/10.1186\/s12880-015-0068-x. 10.1186\/s12880-015-0068-x","key":"#cr-split#-e_1_3_2_1_10_1.1","DOI":"10.1186\/s12880-015-0068-x"},{"doi-asserted-by":"crossref","unstructured":"Taha A.A. and Hanbury A. 2015. Metrics for evaluating 3D medical image segmentation: analysis selection and tool. BMC medical imaging. 15 1(Dec. 2015) 29.DOI= https:\/\/doi.org\/10.1186\/s12880-015-0068-x.","key":"#cr-split#-e_1_3_2_1_10_1.2","DOI":"10.1186\/s12880-015-0068-x"}],"event":{"sponsor":["Shenzhen University Shenzhen University"],"acronym":"CSAI2019","name":"CSAI2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence","location":"Normal IL USA"},"container-title":["Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3374587.3374624","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3374587.3374624","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:45Z","timestamp":1750203885000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3374587.3374624"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,6]]},"references-count":11,"alternative-id":["10.1145\/3374587.3374624","10.1145\/3374587"],"URL":"https:\/\/doi.org\/10.1145\/3374587.3374624","relation":{},"subject":[],"published":{"date-parts":[[2019,12,6]]},"assertion":[{"value":"2020-03-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}