{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:51:24Z","timestamp":1761490284676},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"S2","license":[{"start":{"date-parts":[[2017,5,29]],"date-time":"2017-05-29T00:00:00Z","timestamp":1496016000000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s00521-017-3045-1","type":"journal-article","created":{"date-parts":[[2017,5,29]],"date-time":"2017-05-29T07:33:11Z","timestamp":1496043191000},"page":"865-876","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Self-organizing neural networks for image segmentation based on multiphase active contour"],"prefix":"10.1007","volume":"31","author":[{"given":"M.","family":"Sridevi","sequence":"first","affiliation":[]},{"given":"C.","family":"Mala","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,29]]},"reference":[{"key":"3045_CR1","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1016\/j.neucom.2014.07.052","volume":"149","author":"MM Abdelsamea","year":"2015","unstructured":"Abdelsamea MM, Gnecco Giorgio, Gaber Mohamed Medhat (2015) An efficient self-organizing active contour model for image segmentation. Neurocomput Elsevier 149:820\u2013835","journal-title":"Neurocomput Elsevier"},{"key":"3045_CR2","doi-asserted-by":"crossref","unstructured":"Andonie, R, Chronopoulos AT, Grosu D, Galmeanu H (2006) An efficient concurrent implementation of a neural network algorithm, Concurrency and Computation: practice and experience, pp 1559\u20131573","DOI":"10.1002\/cpe.987"},{"key":"3045_CR3","unstructured":"Bullinaria JA (2004) Self organizing maps: algorithms and application, introduction to neural networks, pp. L17-1-l17-10"},{"issue":"1","key":"3045_CR4","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"V Caselles","year":"1997","unstructured":"Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis 22(1):61\u201379","journal-title":"Int J Comput Vis"},{"issue":"2","key":"3045_CR5","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2):266\u2013278","journal-title":"IEEE Trans Image Process"},{"key":"3045_CR6","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1006\/jvci.1999.0442","volume":"11","author":"TF Chan","year":"2000","unstructured":"Chan TF, Yezrielev Sandberg B, Vese Luminita A (2000) Active contours without edges for vector\u2014valued images. J Vis Commun Image Represent 11:130\u2013141","journal-title":"J Vis Commun Image Represent"},{"key":"3045_CR7","doi-asserted-by":"crossref","unstructured":"Chang P L, Teng WG (2007) Exploiting the self\u2014organizing map for medical image segmentation. In: 20th IEEE international symposium on computer- Based Medical Systems (CBMS\u201907), Maribor, pp 281\u2013288","DOI":"10.1109\/CBMS.2007.48"},{"key":"3045_CR8","doi-asserted-by":"crossref","unstructured":"Chronopoulos AT, Sarangapani J (2002)A distributed discrete-time neural network architecture for pattern allocation and control. In: Proceedings of IEEE IPDPS, pp 204\u2013211","DOI":"10.1109\/IPDPS.2002.1016613"},{"issue":"10","key":"3045_CR9","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1109\/TIP.2005.852200","volume":"14","author":"S Gao","year":"2005","unstructured":"Gao S, Bui TD (2005) Image segmentation and selective smoothing by using Mumford\u2013Shah model. IEEE Trans Image Process 14(10):1537\u20131549","journal-title":"IEEE Trans Image Process"},{"key":"3045_CR10","doi-asserted-by":"publisher","first-page":"2321","DOI":"10.1007\/s11042-013-1553-2","volume":"72","author":"S Gao","year":"2014","unstructured":"Gao S, Yang Jian, Yan Yunyang (2014) A novel multiphase active contour model for inhomogeneous image segmentation. Multimed Tools Appl Springer 72:2321\u20132337","journal-title":"Multimed Tools Appl Springer"},{"key":"3045_CR11","volume-title":"Digital image processing","author":"RC Gonzalez","year":"2008","unstructured":"Gonzalez RC, Woods RE (2008) Digital image processing. 3rd edn, Prentice Hall, Upper Saddle River,  NJ, USA"},{"key":"3045_CR12","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.cviu.2014.04.010","volume":"125","author":"CM Juan","year":"2014","unstructured":"Juan CM, Surya Prasath VB, Proen\u00e7a Hugo, Palaniappan K (2014) Fast and globally convex multiphase active contours for brain MRI Segmentation. Comput Vis Image Underst 125:237\u2013250","journal-title":"Comput Vis Image Underst"},{"issue":"14","key":"3045_CR13","first-page":"321","volume":"1","author":"M Kass","year":"1987","unstructured":"Kass M, Witkin A, Terzopoulos D (1987) Snakes: active contour models. Int J Comput Vis 1(14):321\u2013331","journal-title":"Int J Comput Vis"},{"key":"3045_CR14","first-page":"430","volume":"1","author":"CM Li","year":"2005","unstructured":"Li CM, Xu CY, Gui CF, Fox MD (2005) Level set formulation without Re- initialization: a new variational formulation. Proc IEEE Int Conf Comput Vis Pattern Recognit (CVPR) 1:430\u2013436","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"3045_CR15","doi-asserted-by":"crossref","unstructured":"Li C, Kao C, Gore JC, Ding Z (2007) Implicit active contours driven by local binary fitting energy. IEEE Confer Comput Vis Pattern Recognit pp 1\u20137","DOI":"10.1109\/CVPR.2007.383014"},{"issue":"10","key":"3045_CR16","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","volume":"17","author":"C Li","year":"2008","unstructured":"Li C, Kao C, Gore JC, Ding Z (2008) Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process 17(10):1940\u20131949","journal-title":"IEEE Trans Image Process"},{"key":"3045_CR17","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.jvcir.2013.03.007","volume":"24","author":"D Li","year":"2013","unstructured":"Li D, Li Weifeng, Liao Qingmin (2013) Active contours driven by local and global probability distributions. J vis commun Image Represent Elsevier 24:522\u2013533","journal-title":"J vis commun Image Represent Elsevier"},{"key":"3045_CR18","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1016\/j.patcog.2014.10.018","volume":"48","author":"H Min","year":"2015","unstructured":"Min H, Jia W, Wang XF, Zhao Y, Hu RX, Luo YT, Xue F, Lu JT (2015) An Intensity-Texture model based level set method for image segmentation. Pattern Recognit Elsevier 48:1547\u20131562","journal-title":"Pattern Recognit Elsevier"},{"key":"3045_CR19","volume-title":"Variational and level set methods in image segmentation","author":"A Mitiche","year":"2010","unstructured":"Mitiche A, Ayed IB (2010) Variational and level set methods in image segmentation. Springer, Berlin Heidelberg"},{"key":"3045_CR20","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D Mumford","year":"1989","unstructured":"Mumford D, Shah J (1989) Optimal approximation by piecewise smooth functions and associated variational problems. Commun Pure Appl Math 42:577\u2013685","journal-title":"Commun Pure Appl Math"},{"key":"3045_CR21","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/S0262-8856(02)00021-5","volume":"20","author":"SH Ong","year":"2002","unstructured":"Ong SH, Yeo NC, Lee KH, Venkatesh YV, Cao DM (2002) Segmentation of color images using a two-stage self-organizing network. Image Vis Comput 20:279\u2013289","journal-title":"Image Vis Comput"},{"issue":"3","key":"3045_CR22","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1023\/A:1014080923068","volume":"46","author":"N Paragios","year":"2002","unstructured":"Paragios N, Deriche R (2002) Geodesic active regions and level set methods for supervised texture segmentation. Int J Comp Vis 46(3):223\u2013247","journal-title":"Int J Comp Vis"},{"key":"3045_CR23","doi-asserted-by":"publisher","first-page":"214","DOI":"10.5201\/ipol.2012.g-cv","volume":"2","author":"G Pascal","year":"2012","unstructured":"Pascal G (2012) Chan\u2014vese segmentation. Image Process Line 2:214\u2013224","journal-title":"Image Process Line"},{"issue":"9","key":"3045_CR24","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1016\/j.imavis.2006.12.013","volume":"25","author":"L Pi","year":"2007","unstructured":"Pi L, Shen CM, Li F, Fan JS (2007) A variational formulation for segmenting desired objects in color images. Image Vis Comput 25(9):1414\u20131421","journal-title":"Image Vis Comput"},{"key":"3045_CR25","doi-asserted-by":"crossref","unstructured":"Rickard HE, Tourassi GD, lmaghraby AS (2004) Breast segmentation in screening mammograms using multiscale analysis and self\u2014organizing maps. In: Proceedings of the 26th annual international conference of the IEEE EMBS, San Francisco, CA","DOI":"10.1109\/IEMBS.2004.1403534"},{"key":"3045_CR26","unstructured":"Sandberg B, Chan T, Vese L (2002) A level-set and Gabor-based active contour algorithm for segmenting textured images. In: Technical Report 39, Mathematical Department, UCLA, Los Angeles, USA"},{"issue":"1","key":"3045_CR27","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1109\/TBME.2007.896587","volume":"55","author":"K Sum","year":"2008","unstructured":"Sum K, Cheung P (2008) Vessel extraction under non-uniform illumination: a level set approach. IEEE Trans Biomed Eng 55(1):358\u2013360","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"3045_CR28","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11263-006-9140-x","volume":"73","author":"XC Tai","year":"2007","unstructured":"Tai XC, Christiansen Oddvar (2007) Image segmentation using some piecewise constant level set methods with MBO type of projection. Int J Comp Vis 73(1):61\u201376","journal-title":"Int J Comp Vis"},{"key":"3045_CR29","doi-asserted-by":"crossref","unstructured":"Tian D, Fan L (2007) A brain MR images segmentation method based on SOM neural network. In: 1st International conference on bioinformatics and biomedical engineering, pp 686\u2013689","DOI":"10.1109\/ICBBE.2007.179"},{"key":"3045_CR30","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.compbiomed.2013.10.029","volume":"44","author":"N Torbati","year":"2014","unstructured":"Torbati N, Ayatollahi A, Kermani A (2014) An efficient neural network based method for medical image segmentation. Comput Biol Med 44:76\u201387","journal-title":"Comput Biol Med"},{"key":"3045_CR31","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1016\/S0031-3203(99)00046-1","volume":"33","author":"YV Venkatesh","year":"2000","unstructured":"Venkatesh YV, Rishikesh N (2000) Self-organizing neural networks based on spatial isomorphism for active contour modeling. Pattern Recognit Elsevier 33:1239\u20131250","journal-title":"Pattern Recognit Elsevier"},{"issue":"4","key":"3045_CR32","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1109\/TIP.2005.863934","volume":"15","author":"YV Venkatesh","year":"2006","unstructured":"Venkatesh YV, Raja KS, Ramya N (2006) Multiple contour extraction from graylevel images using an artificial neural network. IEEE Trans Image Process 15(4):892\u2013899","journal-title":"IEEE Trans Image Process"},{"key":"3045_CR33","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1023\/A:1020874308076","volume":"50","author":"L Vese","year":"2002","unstructured":"Vese L, Chan T (2002) A multiphase level set framework for image segmentation using the Mumford and Shah model. Int J Comput Vis 50:271\u2013293","journal-title":"Int J Comput Vis"},{"key":"3045_CR34","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.patcog.2009.08.002","volume":"43","author":"XF Wang","year":"2010","unstructured":"Wang XF, Huang DS, Xu H (2010) An efficient local Chan\u2013Vese model for image segmentation. Pattern Recognit 43:603\u2013613","journal-title":"Pattern Recognit"},{"key":"3045_CR35","unstructured":"Xia RB, Liu W, Zhao JJB, Li L (2014) An optimal initialization technique for improving the segmentation performance of Chan\u2013Vese model. In: Proceedings of the IEEE international conference on automation and logistics, pp 411\u2013415"},{"issue":"4","key":"3045_CR36","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.patcog.2009.10.010","volume":"43","author":"K Zhang","year":"2009","unstructured":"Zhang K, Song H, Zhang L (2009) Active contour driven by local image fitting energy. Pattern Recognit 43(4):1199\u20131206","journal-title":"Pattern Recognit"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3045-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3045-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3045-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,10]],"date-time":"2019-04-10T20:37:30Z","timestamp":1554928650000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3045-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,29]]},"references-count":36,"journal-issue":{"issue":"S2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["3045"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3045-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,29]]},"assertion":[{"value":"14 June 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}