{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:54Z","timestamp":1750220934816,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T00:00:00Z","timestamp":1557446400000},"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":[[2019,5,10]]},"DOI":"10.1145\/3330393.3332377","type":"proceedings-article","created":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T12:50:44Z","timestamp":1562071844000},"page":"177-181","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research and Application of Cell Image Segmentation Based on Generative Adversarial Network"],"prefix":"10.1145","author":[{"given":"Xianfeng","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Science, Beijing, China"}]},{"given":"Lele","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Zhen","family":"Yan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Ye","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Lili","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China and School of Software, Tsinghua University, Beijing, China"}]},{"given":"Shan","family":"Jin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2019,5,10]]},"reference":[{"issue":"4","key":"e_1_3_2_1_1_1","first-page":"0415","article-title":"Statistical analysis of the publication of Journal of Image and Graphics founded 20 years","volume":"22","author":"Zhang Y J","year":"2017","unstructured":"Y J Zhang . 2017 . Statistical analysis of the publication of Journal of Image and Graphics founded 20 years . Journal of Image and Graphics , 22 ( 4 ), 0415 -- 0421 . Y J Zhang. 2017. Statistical analysis of the publication of Journal of Image and Graphics founded 20 years. Journal of Image and Graphics, 22(4), 0415--0421.","journal-title":"Journal of Image and Graphics"},{"issue":"6","key":"e_1_3_2_1_2_1","first-page":"683","article-title":"Research of Lung Segmentation Based on CT Image","volume":"27","author":"Zhou M","year":"2018","unstructured":"M Zhou , K Zeng , K Yang 2018 . Research of Lung Segmentation Based on CT Image . CT Theory and Applications , 27 ( 6 ), 683 -- 691 . M Zhou, K Zeng, K Yang et al. 2018. Research of Lung Segmentation Based on CT Image. CT Theory and Applications, 27(6), 683--691.","journal-title":"CT Theory and Applications"},{"issue":"1","key":"e_1_3_2_1_3_1","first-page":"32","article-title":"Regional Image Based on Energy Functions for Double Random Fields","volume":"30","author":"Zhao Q","year":"2017","unstructured":"Q Zhao , X Zhao , Y Li . 2017 . Regional Image Based on Energy Functions for Double Random Fields . Pattern Recognition and Artificial Intelligence. 30 ( 1 ), 32 -- 42 . Q Zhao, X Zhao, Y Li. 2017. Regional Image Based on Energy Functions for Double Random Fields. Pattern Recognition and Artificial Intelligence. 30(1), 32--42.","journal-title":"Pattern Recognition and Artificial Intelligence."},{"issue":"02","key":"e_1_3_2_1_4_1","first-page":"45","article-title":"Multi-scale Edge Detection and Multi-scale Segmentation of Imagery","volume":"29","author":"Du X P","year":"2013","unstructured":"X P Du , X T Fan , H D Guo . 2013 . Multi-scale Edge Detection and Multi-scale Segmentation of Imagery . Geography and Geo-Information Science. 29 ( 02 ), 45 -- 48 . X P Du, X T Fan, H D Guo. 2013. Multi-scale Edge Detection and Multi-scale Segmentation of Imagery. Geography and Geo-Information Science. 29(02), 45--48.","journal-title":"Geography and Geo-Information Science."},{"key":"e_1_3_2_1_5_1","unstructured":"K Simonyan A Zisserman 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. Computer Science.  K Simonyan A Zisserman 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. Computer Science."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"e_1_3_2_1_7_1","article-title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation","author":"Badrinarayanan V","year":"2015","unstructured":"V Badrinarayanan , A Kendall , R Cipolla . 2015 . SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation . IEEE Transactions on Pattern Analysis and Machine Intelligence. (99),1--1. V Badrinarayanan, A Kendall, R Cipolla. 2015. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (99),1--1.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence. (99),1--1."},{"key":"e_1_3_2_1_8_1","volume-title":"RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition. 5168--5177","author":"Lin G","year":"2017","unstructured":"G Lin , A Milan , C Shen , 2017 . RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition. 5168--5177 . G Lin, A Milan, C Shen, et al. 2017. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition. 5168--5177."},{"key":"e_1_3_2_1_9_1","article-title":"Mask R-CNN","author":"He K","year":"2017","unstructured":"K He , G Gkioxari , P Dollar , 2017 . Mask R-CNN . IEEE Transactions on Pattern Analysis and Machine Intelligence.1--1. K He, G Gkioxari, P Dollar, et al. 2017. Mask R-CNN. IEEE Transactions on Pattern Analysis and Machine Intelligence.1--1.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence.1--1."},{"key":"e_1_3_2_1_10_1","volume-title":"International Conference on Neural Information Processing Systems. 2672--2680","author":"Goodfellow I J","year":"2014","unstructured":"I J Goodfellow , J Pouget-Abadie , M Mirza , 2014 . Generative adversarial nets . International Conference on Neural Information Processing Systems. 2672--2680 . I J Goodfellow, J Pouget-Abadie, M Mirza, et al. 2014. Generative adversarial nets. International Conference on Neural Information Processing Systems. 2672--2680."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"O Ronneberger P Fischer T Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention.  O Ronneberger P Fischer T Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_13_1","volume-title":"Pyramid Scene Parsing Network. IEEE Conference on Computer Vision and Pattern Recognition.","author":"Zhao H S","year":"2017","unstructured":"H S Zhao , J Shi , X Qi et al. 2017 . Pyramid Scene Parsing Network. IEEE Conference on Computer Vision and Pattern Recognition. ( 2017 ), 6230--6239. H S Zhao, J Shi, X Qi et al. 2017. Pyramid Scene Parsing Network. IEEE Conference on Computer Vision and Pattern Recognition. (2017), 6230--6239."},{"volume-title":"Conditional Generative Adversarial Network for Structured Domain Adaptation","author":"Hong W","key":"e_1_3_2_1_14_1","unstructured":"W Hong , Z Wang , M Yang . 2018. Conditional Generative Adversarial Network for Structured Domain Adaptation . Institute of Electrical and Electronics Engineers (IEEE) .1335--1344. W Hong, Z Wang, M Yang. 2018. Conditional Generative Adversarial Network for Structured Domain Adaptation. Institute of Electrical and Electronics Engineers (IEEE).1335--1344."},{"volume-title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. International Conference on Learning Representations. 1--16","year":"2015","key":"e_1_3_2_1_15_1","unstructured":"Radford, Alec, Metz, Luke, Chintala, Soumith. 2015 . Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. International Conference on Learning Representations. 1--16 . Radford, Alec, Metz, Luke, Chintala, Soumith. 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. International Conference on Learning Representations. 1--16."},{"key":"e_1_3_2_1_16_1","volume-title":"Wasserstein Generative Adversarial Networks. International Conference on Machine Learning. 1--44","author":"Arjovsky M","year":"2017","unstructured":"M Arjovsky , S Chintala , L Bottou . 2017 . Wasserstein Generative Adversarial Networks. International Conference on Machine Learning. 1--44 . M Arjovsky, S Chintala, L Bottou. 2017. Wasserstein Generative Adversarial Networks. International Conference on Machine Learning. 1--44."},{"volume-title":"Image-to-Image Translation with Conditional Adversarial Networks. IEEE Conference on Computer Vision and Pattern Recognition. 5967--5976","author":"Isola P","key":"e_1_3_2_1_17_1","unstructured":"P Isola , J Y Zhu , T Zhou et al. 2017 . Image-to-Image Translation with Conditional Adversarial Networks. IEEE Conference on Computer Vision and Pattern Recognition. 5967--5976 . P Isola, J Y Zhu, T Zhou et al. 2017. Image-to-Image Translation with Conditional Adversarial Networks. IEEE Conference on Computer Vision and Pattern Recognition. 5967--5976."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4440-4"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.606"},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Learning Representations. 1--15","author":"He K M","year":"2015","unstructured":"K M He , D. P. , Ba , J. L. 2015 . Adam: a Method for Stochastic Optimization . International Conference on Learning Representations. 1--15 . K M He, D. P., Ba, J. L. 2015. Adam: a Method for Stochastic Optimization. International Conference on Learning Representations. 1--15."}],"event":{"name":"ICMSSP 2019: 2019 4th International Conference on Multimedia Systems and Signal Processing","sponsor":["Shenzhen University Shenzhen University","Sun Yat-Sen University"],"location":"Guangzhou China","acronym":"ICMSSP 2019"},"container-title":["Proceedings of the 2019 4th International Conference on Multimedia Systems and Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3330393.3332377","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3330393.3332377","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:26Z","timestamp":1750204406000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3330393.3332377"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,10]]},"references-count":20,"alternative-id":["10.1145\/3330393.3332377","10.1145\/3330393"],"URL":"https:\/\/doi.org\/10.1145\/3330393.3332377","relation":{},"subject":[],"published":{"date-parts":[[2019,5,10]]},"assertion":[{"value":"2019-05-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}