{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T09:26:28Z","timestamp":1775381188905,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319219622","type":"print"},{"value":"9783319219639","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","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":[[2015]]},"DOI":"10.1007\/978-3-319-21963-9_2","type":"book-chapter","created":{"date-parts":[[2015,8,2]],"date-time":"2015-08-02T21:19:45Z","timestamp":1438550385000},"page":"11-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Blood Vessel Segmentation of Retinal Images Based on Neural Network"],"prefix":"10.1007","author":[{"given":"Jingdan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingjie","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wuhan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,4]]},"reference":[{"key":"2_CR1","volume-title":"Clinical Ophthalmology: A Systematic Approach","author":"JJ Kanski","year":"1989","unstructured":"Kanski, J.J.: Clinical Ophthalmology: A systematic approach. Butterworth-Heinemann, London (1989)"},{"key":"2_CR2","doi-asserted-by":"publisher","unstructured":"Roychowdhury, S., Koozekanani, D.D., Parhi, K.K.: Blood vessel segmentation of fundus images by major vessel extraction and sub-image classification. IEEE J. Biomed. Health Inform. 99 (2014). doi:\n                    10.1109\/JBHI.2014.2335617","DOI":"10.1109\/JBHI.2014.2335617"},{"key":"2_CR3","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.media.2006.11.004","volume":"11","author":"ME Marinez-Perez","year":"2007","unstructured":"Marinez-Perez, M.E., Hughes, A.D., Thom, S.A., Bharath, A.A., Parker, K.H.: Segmentation of blood vessels from red-free and fluorescein retinal images. Med. Imaging Anaysis 11, 47\u201361 (2007)","journal-title":"Med. Imag. Ana."},{"issue":"1","key":"2_CR4","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/TPAMI.2003.1159954","volume":"25","author":"X Jiang","year":"2003","unstructured":"Jiang, X., Mojon, D.: Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Trans. Pattern Anal. Mach. Intell. 25(1), 131\u2013137 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR5","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/S0010-4825(03)00055-6","volume":"34","author":"KA Vermeer","year":"2004","unstructured":"Vermeer, K.A., Vos, F.M., Lemij, H.G., Vossepoel, A.M.: A model based method for retinal blood vessel detection. Comput. Biol. Med. 34, 209\u2013219 (2004)","journal-title":"Comput. Biol. Med."},{"issue":"2","key":"2_CR6","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1109\/TMI.2007.909827","volume":"27","author":"B Lam","year":"2008","unstructured":"Lam, B., Yan, H.: A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields. IEEE Trans. Med. Imaging 27(2), 237\u2013246 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"2_CR7","doi-asserted-by":"publisher","first-page":"1488","DOI":"10.1109\/TMI.2009.2017941","volume":"28","author":"B Al-Diri","year":"2009","unstructured":"Al-Diri, B., Hunter, A., Steel, D.: An active contour model for segmenting and measuring retinal vessels. IEEE Trans. Med. Imaging 28, 1488\u20131497 (2009)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"3","key":"2_CR8","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/42.34715","volume":"8","author":"S Chaudhuri","year":"1989","unstructured":"Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., Goldbaum, M.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imaging 8(3), 263\u2013269 (1989)","journal-title":"IEEE Trans. Med. Imag."},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1049\/iet-ipr.2012.0455","volume":"7","author":"J Odstrcilikb","year":"2013","unstructured":"Odstrcilikb, J., Kolar, R., Budai, A., et al.: Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database. IET Image Proc. 7, 373\u2013383 (2013)","journal-title":"IET Image Proc."},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.cmpb.2009.04.005","volume":"96","author":"MG Cinsdikici","year":"2009","unstructured":"Cinsdikici, M.G., Aydin, D.: Detection of blood vessels in ophthalmoscope images using MF\/ant (matched filter\/ant colony) algorithm. Comput. Methods Programs Biomed. 96, 85\u201395 (2009)","journal-title":"Comput. Methods Programs Biomed."},{"key":"2_CR11","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/TMI.2010.2064333","volume":"30","author":"D Marin","year":"2011","unstructured":"Marin, D., Aquino, A., Gegundez-Arias, M.E., Bravo, J.M.: A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans. Med. Imaging 30, 146\u2013158 (2011)","journal-title":"IEEE Trans. Med. Imag."},{"key":"2_CR12","first-page":"648","volume":"5370","author":"M Niemeijer","year":"2004","unstructured":"Niemeijer, M., Staal, J., Ginneken, B.V., Loog, M., Abramoff, M.D.: Comparative study of retinal vessel segmentation methods on a new publicly available database. SPIE Med. Imag. 5370, 648\u2013656 (2004)","journal-title":"SPIE Med. Imag."},{"key":"2_CR13","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/TMI.2004.825627","volume":"23","author":"J Staal","year":"2004","unstructured":"Staal, J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., Ginneken, B.: Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging 23, 501\u2013509 (2004)","journal-title":"IEEE Trans. Med. Imag."},{"key":"2_CR14","first-page":"102","volume":"7","author":"GB Kande","year":"2007","unstructured":"Kande, G.B., Savithri, T.S., Subbaiah, P.V.: Segmentation of vessels in fundus images using spatially weighted fuzzy C-means clustering algorithm. Int. J. Comput. Sci. Netw. Secur. 7, 102\u2013109 (2007)","journal-title":"Int. J. Comput. Sci. Netw. Secur."},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1109\/TMI.2005.843738","volume":"24","author":"M Niemeijer","year":"2005","unstructured":"Niemeijer, M., van Ginneken, B., Staal, J.J., Suttorp-Schulten, M.S.A., Abramoff, M.D.: Automatic detection of red lesions in digital color fundus photographs. IEEE Trans. Med. Imaging 24, 584\u2013592 (2005)","journal-title":"IEEE Trans. Med. Imag."},{"key":"2_CR16","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/5.58325","volume":"78","author":"T Kohonen","year":"1990","unstructured":"Kohonen, T.: The self-organizing maps. Proc. IEEE 78, 1464\u20131480 (1990)","journal-title":"Proc. IEEE"},{"key":"2_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97610-0","volume-title":"Self-organizing Maps","author":"T Kohonen","year":"1995","unstructured":"Kohonen, T.: Self-organizing Maps. Springer, New York (1995)"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1117\/1.1631315","volume":"13","author":"M Sezgin","year":"2004","unstructured":"Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13, 146\u2013165 (2004)","journal-title":"J. Electron. Imag."},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Sys. Man. Cyber. 9, 62\u201366 (1979)","journal-title":"IEEE Trans. Sys. Man. Cyber."}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-21963-9_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T12:17:28Z","timestamp":1564402648000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-21963-9_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319219622","9783319219639"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-21963-9_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"4 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}