{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:33:40Z","timestamp":1725914020506},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700922"},{"type":"electronic","value":"9783319700939"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70093-9_75","type":"book-chapter","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T22:48:48Z","timestamp":1508798928000},"page":"702-712","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Liver Segmentation and 3D Modeling Based on Multilayer Spiral CT Image"],"prefix":"10.1007","author":[{"given":"Yanhua","family":"Liang","sequence":"first","affiliation":[]},{"given":"Yongxiong","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"issue":"9","key":"75_CR1","first-page":"669","volume":"54","author":"L Chen","year":"2016","unstructured":"Chen, L., Luo, H., Dong, S., et al.: Safety assessment of hepatectomy for huge hepatocellular carcinoma by three dimensional reconstruction technique. Chin. J. Surg. 54(9), 669\u2013674 (2016)","journal-title":"Chin. J. Surg."},{"unstructured":"Huang, Q.: Research of 3D modeling and liver volume calculation method based on liver CT image. Jilin University (2016)","key":"75_CR2"},{"issue":"2","key":"75_CR3","first-page":"96","volume":"20","author":"C Fang","year":"2012","unstructured":"Fang, C., Feng, S., Fan, Y., et al.: Study on the application of three-dimensional visualization technique in evaluation of residual liver volume and guidance for hepatectomy. J. Hepatobiliary Surg. 20(2), 96\u201398 (2012)","journal-title":"J. Hepatobiliary Surg."},{"issue":"4","key":"75_CR4","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1145\/37402.37422","volume":"21","author":"WE Lorensen","year":"1987","unstructured":"Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. ACM SIGGRAPH Comput. Graph. 21(4), 163\u2013169 (1987)","journal-title":"ACM SIGGRAPH Comput. Graph."},{"unstructured":"Nielson, G.M., Hamann, B.: The asymptotic decider: resolving the ambiguity in marching cubes. In: Proceedings of the 2nd Conference on Visualization, pp. 83\u201391. IEEE Computer Society Press, Los Alamitos (1991)","key":"75_CR5"},{"issue":"11A","key":"75_CR6","first-page":"156","volume":"43","author":"J Zhou","year":"2016","unstructured":"Zhou, J.: 3D-volume reconstruction of medical images based on ray-casting algorithm. Comput. Sci. 43(11A), 156\u2013160 (2016)","journal-title":"Comput. Sci."},{"issue":"12","key":"75_CR7","first-page":"107","volume":"25","author":"Z Hu","year":"2009","unstructured":"Hu, Z., Gui, J., Zhou, Y., et al.: Methods for implementation of CT visualization based on surface and volume rendering. Microcomput. Inf. 25(12), 107\u2013108 (2009)","journal-title":"Microcomput. Inf."},{"unstructured":"Liu, L.: Research of liver image segmentation method and 3D modeling method based on multilayer spiral CT. Jilin University (2015)","key":"75_CR8"},{"issue":"1","key":"75_CR9","first-page":"145","volume":"34","author":"L Fu","year":"2014","unstructured":"Fu, L., Yao, Y., Fu, Z.: Filtering method for medical images based on median filtering and anisotropic diffusion. J. Comput. Appl. 34(1), 145\u2013148 (2014)","journal-title":"J. Comput. Appl."},{"issue":"5","key":"75_CR10","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.12733\/jics20105532","volume":"12","author":"Y Sun","year":"2015","unstructured":"Sun, Y., Liu, L., Huang, Q., et al.: Liver image segmentation algorithm based on RBF confidence interval. J. Inf. Comput. Sci. 12(5), 1703\u20131711 (2015)","journal-title":"J. Inf. Comput. Sci."},{"issue":"6","key":"75_CR11","first-page":"985","volume":"28","author":"J Sun","year":"2005","unstructured":"Sun, J., Wu, B., Liu, X.: Cellular neural network applicating manner in pre processing image. Chin. J. Comput. 28(6), 985\u2013990 (2005)","journal-title":"Chin. J. Comput."},{"issue":"12","key":"75_CR12","first-page":"2099","volume":"26","author":"M Wang","year":"2014","unstructured":"Wang, M., Feng, J., Yang, B.: Comparsion and evaluation of marching cubes and marching tetrahedra. J. Comput.-Aided Des. Comput. Graph. 26(12), 2099\u20132106 (2014)","journal-title":"J. Comput.-Aided Des. Comput. Graph."},{"unstructured":"Li, L.: Design method of transfer function for 3D medical data volume rendering. University of Science and Technology of China (2016)","key":"75_CR13"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70093-9_75","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:27:36Z","timestamp":1710347256000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70093-9_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700922","9783319700939"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70093-9_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"24 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iconip2017.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}