{"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":1750220901266,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"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\/3374587.3374625","type":"proceedings-article","created":{"date-parts":[[2020,3,4]],"date-time":"2020-03-04T18:16:31Z","timestamp":1583345791000},"page":"239-244","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Ultrasound vascular image segmentation based on full convolutional aggregation neural network"],"prefix":"10.1145","author":[{"given":"Yan","family":"Li","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":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Moll S. A Clinical Perspective of Venous Thromboembolism. Arteriosclerosis Thrombosis and Vascular Biology. 2008;28:373.  Moll S. A Clinical Perspective of Venous Thromboembolism. Arteriosclerosis Thrombosis and Vascular Biology. 2008;28:373.","DOI":"10.1161\/ATVBAHA.108.162818"},{"key":"e_1_3_2_1_2_1","series-title":"Pubitemid 39157959","volume-title":"Perspectives on the role of ultrasonic devices in thrombolysis. Journal of Thrombosis and Thrombolysis 2004;17(2): 107--114.","author":"Atar S","unstructured":"Atar S , Rosenshein U. Perspectives on the role of ultrasonic devices in thrombolysis. Journal of Thrombosis and Thrombolysis 2004;17(2): 107--114. ( Pubitemid 39157959 ) Atar S, Rosenshein U. Perspectives on the role of ultrasonic devices in thrombolysis. Journal of Thrombosis and Thrombolysis 2004;17(2): 107--114. (Pubitemid 39157959)"},{"volume-title":"R et al. Noninvasive Transcutaneous Low Frequency Ultrasound Enhances Thrombolysis in Peripheral and Coronary Arteries. Echocardiography. 2001","author":"Siegel","key":"e_1_3_2_1_3_1","unstructured":"Siegel , R et al. Noninvasive Transcutaneous Low Frequency Ultrasound Enhances Thrombolysis in Peripheral and Coronary Arteries. Echocardiography. 2001 ; 18 (3): 247--257 ( Pubitemid 32406049) Siegel, R et al. Noninvasive Transcutaneous Low Frequency Ultrasound Enhances Thrombolysis in Peripheral and Coronary Arteries. Echocardiography. 2001; 18 (3): 247--257 (Pubitemid 32406049)"},{"key":"e_1_3_2_1_4_1","series-title":"Pubitemid 30451783","volume-title":"Ultrasound imaging-guided noninvasive ultrasound thrombolysis: preclinical results. Circulation 2000;102: 238--245.","author":"Rosenschein U","unstructured":"Rosenschein U , Furman V , Kerner E , Fabian I , Bernheim J , Eshel Y. Ultrasound imaging-guided noninvasive ultrasound thrombolysis: preclinical results. Circulation 2000;102: 238--245. ( Pubitemid 30451783 ) Rosenschein U, Furman V, Kerner E, Fabian I, Bernheim J, Eshel Y. Ultrasound imaging-guided noninvasive ultrasound thrombolysis: preclinical results. Circulation 2000;102: 238--245. (Pubitemid 30451783)"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2008.0281"},{"issue":"11","key":"e_1_3_2_1_6_1","first-page":"2274","volume":"11","author":"Superpixels Compared","year":"2012","unstructured":"ACHANTA, RADHAKRISHNA, SHAJI, APPU, SMITH, KEVIN, Superpixels Compared to State-of-the-Art Superpixel Methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence , 2012 , 11 ( 11 ): 2274 -- 2282 . ACHANTA, RADHAKRISHNA, SHAJI, APPU, SMITH, KEVIN, et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012,11(11):2274--2282.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_7_1","unstructured":"Tao Yongpeng Jing Yu Yu Cong.CT image segmentation method combining superpixel and CNN[J\/OL].Computer Engineering and Applications:1--8[2019-03-22].http:\/\/kns.cnki.net\/kcms\/detail\/11.2127.TP.20190318.17-33.014.html.  Tao Yongpeng Jing Yu Yu Cong.CT image segmentation method combining superpixel and CNN[J\/OL].Computer Engineering and Applications:1--8[2019-03-22].http:\/\/kns.cnki.net\/kcms\/detail\/11.2127.TP.20190318.17-33.014.html."},{"volume-title":"Trevor Darrell. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015","author":"Fullyconvolutional","key":"e_1_3_2_1_8_1","unstructured":"Fullyconvolutional networks for semantic segmentation. Jonathan Long, Evan Shelhamer , Trevor Darrell. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015 Fullyconvolutional networks for semantic segmentation. Jonathan Long, Evan Shelhamer, Trevor Darrell. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015"},{"key":"e_1_3_2_1_9_1","volume-title":"European Polymer Journal","author":"IlkkaRyt\u00f6luoto","year":"2017","unstructured":"IlkkaRyt\u00f6luoto , Antonis Gitsas, Satu Pasanen , Kari Lahti. Effect of film structure and morphology on the dielectric breakdown characteristics of cast and biaxially oriented polypropylene films[J] . European Polymer Journal , 2017 . IlkkaRyt\u00f6luoto, Antonis Gitsas, Satu Pasanen, Kari Lahti. Effect of film structure and morphology on the dielectric breakdown characteristics of cast and biaxially oriented polypropylene films[J]. European Polymer Journal, 2017."},{"key":"e_1_3_2_1_10_1","first-page":"59","author":"Valentina Siracusa","year":"2017","unstructured":"Valentina Siracusa , Carlo Ingrao. Correlation amongst gas barrier behaviour, temperature and thickness in BOPP films for food packaging usage: A lab-scale testing experience[J]. Polymer Testing , 2017 , 59 . Valentina Siracusa, Carlo Ingrao. Correlation amongst gas barrier behaviour, temperature and thickness in BOPP films for food packaging usage: A lab-scale testing experience[J]. Polymer Testing, 2017,59.","journal-title":"Polymer Testing"},{"issue":"2","key":"e_1_3_2_1_11_1","volume":"31","author":"Xiao","year":"2013","unstructured":"Xiao -li Yao, Yu -hong Ma, Chang -wen Zhao, Wan -tai Yang. Correlation of SiO x layer thickness and properties of BOPP\/SiO x composite films with spin coating process parameters[J]. Chinese Journal of Polymer Science , 2013 , 31 ( 2 ). Xiao-li Yao, Yu-hong Ma, Chang-wen Zhao, Wan-tai Yang. Correlation of SiO x layer thickness and properties of BOPP\/SiO x composite films with spin coating process parameters[J]. Chinese Journal of Polymer Science, 2013,31(2).","journal-title":"Chinese Journal of Polymer Science"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"J. Long E. Shelhamer T. Darrell \"Fully convolutional networks for semantic segmentation\" in Book Fully convolutional networks for semantic segmentation pp. 3431--3440 2015.  J. Long E. Shelhamer T. Darrell \"Fully convolutional networks for semantic segmentation\" in Book Fully convolutional networks for semantic segmentation pp. 3431--3440 2015.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_13_1","volume-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation[J]","author":"Ronneberger O","year":"2015","unstructured":"Ronneberger O , Fischer P , Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[J] . 2015 , 9351:234--241 Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[J]. 2015, 9351:234--241"}],"event":{"name":"CSAI2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence","sponsor":["Shenzhen University Shenzhen University"],"location":"Normal IL USA","acronym":"CSAI2019"},"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\/3374587.3374625","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3374587.3374625","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\/3374587.3374625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,6]]},"references-count":13,"alternative-id":["10.1145\/3374587.3374625","10.1145\/3374587"],"URL":"https:\/\/doi.org\/10.1145\/3374587.3374625","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"}}]}}