{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:28:53Z","timestamp":1743096533209,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319508313"},{"type":"electronic","value":"9783319508320"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-50832-0_33","type":"book-chapter","created":{"date-parts":[[2016,12,8]],"date-time":"2016-12-08T19:42:47Z","timestamp":1481226167000},"page":"340-348","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Semi-automated Extraction of Retinal Blood Vessel Network with Bifurcation and Crossover Points"],"prefix":"10.1007","author":[{"given":"Z.","family":"Nougrara","sequence":"first","affiliation":[]},{"given":"N.","family":"Kihal","sequence":"additional","affiliation":[]},{"given":"J.","family":"Meunier","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,10]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1475-925X-9-14","volume":"9","author":"L Xu","year":"2010","unstructured":"Xu, L., Luo, S.: A novel method for blood vessel detection from retinal images. BioMed. Eng. OnLine 9, 1\u201310 (2010)","journal-title":"BioMed. Eng. OnLine"},{"issue":"2","key":"33_CR2","first-page":"29","volume":"77","author":"MB Patwari","year":"2013","unstructured":"Patwari, M.B., Ramesh, R., Yogesh, M., et al.: Extraction of the retinal blood vessels and detection of the bifurcation points. Int. J. Comput. Appl. 77(2), 29\u201334 (2013)","journal-title":"Int. J. Comput. Appl."},{"issue":"2","key":"33_CR3","first-page":"105","volume":"2","author":"S Saha","year":"2013","unstructured":"Saha, S., Roy, N.D.: Automatic detection of bifurcation points in retinal fundus-images. Int. J. Latest Res. Sci. Technol. 2(2), 105\u2013108 (2013)","journal-title":"Int. J. Latest Res. Sci. Technol."},{"issue":"3","key":"33_CR4","first-page":"1","volume":"46","author":"UTV Nguyen","year":"2012","unstructured":"Nguyen, U.T.V., Bhuiyan, A., Park, L.A.F., et al.: An effective retinal blood vessel segmentation method using multi-scale line detection. Pattern Recogn. 46(3), 1\u201327 (2012)","journal-title":"Pattern Recogn."},{"issue":"1","key":"33_CR5","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.cmpb.2010.06.002","volume":"103","author":"D Calvo","year":"2011","unstructured":"Calvo, D., Ortega, M., Penedo, M.G., et al.: Automatic detection and characterization of retinal vessel tree bifurcations and crossovers in eye fundus images. Comput. Meth. Prog. Biomed. 103(1), 28\u201338 (2011)","journal-title":"Comput. Meth. Prog. Biomed."},{"issue":"4","key":"33_CR6","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/TMI.2004.825627","volume":"23","author":"J Staal","year":"2004","unstructured":"Staal, J., Abr\u00e0moff, M.D., Niemeijer, M., et al.: Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging 23(4), 501\u2013509 (2004)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"33_CR7","first-page":"1","volume":"2015","author":"MB Abdallah","year":"2015","unstructured":"Abdallah, M.B., Malek, J., Azar, A.T., et al.: Automatic extraction of blood vessels in the retinal vascular tree using multiscale medialness. Int. J. Biomed. Imaging 2015, 1\u201316 (2015)","journal-title":"Int. J. Biomed. Imaging"},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"1851","DOI":"10.1109\/TBME.2013.2243447","volume":"60","author":"QP Lau","year":"2013","unstructured":"Lau, Q.P., Lee, M.L., Hsu, W., et al.: Simultaneously identifying all true vessels from segmented retinal images. IEEE Trans. Biomed. Eng. 60, 1851\u20131858 (2013)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"33_CR9","first-page":"1","volume":"2013","author":"AA Mudassar","year":"2013","unstructured":"Mudassar, A.A., Butt, S.: Extraction of blood vessels in retinal images using four different techniques. J. Med. Eng. 2013, 1\u201321 (2013)","journal-title":"J. Med. Eng."},{"issue":"7","key":"33_CR10","doi-asserted-by":"publisher","first-page":"9248","DOI":"10.3390\/s130709248","volume":"13","author":"X Meng","year":"2013","unstructured":"Meng, X., Yin, Y., Yang, G., et al.: Retinal identification based on an improved circular Gabor filter and scale invariant feature transform. Sensors 13(7), 9248\u20139266 (2013)","journal-title":"Sensors"},{"issue":"8","key":"33_CR11","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1016\/j.patrec.2012.11.002","volume":"34","author":"G Azzopardi","year":"2013","unstructured":"Azzopardi, G., Petkov, N.: Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recogn. Lett. 34(8), 922\u2013933 (2013)","journal-title":"Pattern Recogn. Lett."},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Fraz, M.M., Javed, M.Y., Basit, A.: Evaluation of retinal vessel segmentation methodologies based on combination of vessel centerlines and morphological processing. In: IEEE International Conference on Emerging Technologies, pp. 1\u20135, Rawalpindi, Pakistan (2008)","DOI":"10.1109\/ICET.2008.4777506"},{"issue":"12","key":"33_CR13","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.1109\/TBME.2012.2215034","volume":"59","author":"KS Lin","year":"2012","unstructured":"Lin, K.S., Tsai, C.L., Tsai, C.H., et al.: Retinal vascular tree reconstruction with anatomical Realism. IEEE Trans. Biomed. Eng. 59(12), 3337\u20133347 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3","key":"33_CR14","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s12650-010-0037-y","volume":"13","author":"F Villalobos-Castaldi","year":"2010","unstructured":"Villalobos-Castaldi, F., Felipe-River\u00f3n, E., S\u00e1nchez-Fern\u00e1ndez, L.: A fast efficient and automated method to extract vessels from fundus images. J. Vis. 13(3), 263\u2013270 (2010)","journal-title":"J. Vis."},{"issue":"3","key":"33_CR15","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.compmedimag.2009.09.006","volume":"34","author":"M Vlachos","year":"2010","unstructured":"Vlachos, M., Dermatas, E.: Multi-scale retinal vessel segmentation using line tracking. Comput. Med. Imaging Graph. 34(3), 213\u2013227 (2010)","journal-title":"Comput. Med. Imaging Graph."},{"key":"33_CR16","first-page":"1","volume":"54","author":"Z Nougrara","year":"2011","unstructured":"Nougrara, Z., Benyettou, A., Abdellaoui, A., et al.: Development of georeferenced data base of an extracted road network and its nodes from satellite imagery over Algeria sites. J. Adv. Model. Simul. Tech. Enterp. Sig. Process. Pattern Recogn. 54, 1\u201313 (2011)","journal-title":"Pattern Recogn."},{"key":"33_CR17","first-page":"53","volume":"58","author":"Z Nougrara","year":"2015","unstructured":"Nougrara, Z.: Towards robust analysis of satellite images of algeria application to road network and its nodes extraction. AMSE J.-2015-Ser. Adv. B 58, 53\u201366 (2015)","journal-title":"AMSE J.-2015-Ser. Adv. B"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Oinonen, H., et al.: Identity verification based on vessel matching from fundus images. In: Proceedings of IEEE International Conference on Image Processing, ICIP, Hong Kong (2010)","DOI":"10.1109\/ICIP.2010.5650657"},{"issue":"2","key":"33_CR19","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.jvlc.2009.01.006","volume":"20","author":"M Ortega","year":"2009","unstructured":"Ortega, M., Penedo, M.G., Rouco, J., et al.: Personal verification based on extraction and characterization of retinal feature points. J. Vis. Lang. Comput. 20(2), 80\u201390 (2009)","journal-title":"J. Vis. Lang. Comput."},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Xu, Z.W., Guo, X.X., Hu, X.Y., et al.: The identification and recognition based on point for blood vessel of ocular fundus. In: International Conference on Biometrics, ICB, pp. 770\u2013776, Hong Kong (2006)","DOI":"10.1007\/11608288_103"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50832-0_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T01:55:25Z","timestamp":1558317325000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-50832-0_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319508313","9783319508320"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50832-0_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"10 December 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISVC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Visual Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Vegas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isvc2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.isvc.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}