{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:30:55Z","timestamp":1759336255775},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,5,2]],"date-time":"2018-05-02T00:00:00Z","timestamp":1525219200000},"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":[[2019,10]]},"DOI":"10.1007\/s00521-018-3480-7","type":"journal-article","created":{"date-parts":[[2018,5,2]],"date-time":"2018-05-02T14:08:51Z","timestamp":1525270131000},"page":"6767-6780","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Effective segmentations in white blood cell images using \n                \n                  \n                \n                $$\\epsilon $$\n                \n                  \n                    \u03f5\n                  \n                \n              -SVR-based detection method"],"prefix":"10.1007","volume":"31","author":[{"given":"Feilong","family":"Cao","sequence":"first","affiliation":[]},{"given":"Yuehua","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhen","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Jianjun","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Jianwei","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,2]]},"reference":[{"issue":"1","key":"3480_CR1","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1007\/s12575-009-9011-2","volume":"11","author":"F Sadeghian","year":"2009","unstructured":"Sadeghian F, Seman Z, Ramli AR, Kahar BA, Saripan M-I (2009) A framework for white blood cell segmentation in microscopic blood images using digital image processing. Biol Proced Online 11(1):196\u2013206","journal-title":"Biol Proced Online"},{"issue":"4","key":"3480_CR2","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.compmedimag.2011.01.003","volume":"35","author":"SH Rezatofighi","year":"2011","unstructured":"Rezatofighi SH, Soltanian-Zadeh H (2011) Automatic recognition of five types of white blood cells in peripheral blood. Comput Med Image Graph 35(4):333\u2013343","journal-title":"Comput Med Image Graph"},{"key":"3480_CR3","first-page":"59","volume":"2","author":"P Hiremath","year":"2010","unstructured":"Hiremath P, Bannigidad P, Geeta S (2010) Automated identification and classification of white blood cells (leukocytes) in digital microscopic images. Int J Comput Appl 2:59\u201363","journal-title":"Int J Comput Appl"},{"key":"3480_CR4","unstructured":"Chinwaraphat S, Sanpanich A, Pintavirooj C, Sangworasil M, Tosranon P (2008) A modified fuzzy clustering for white blood cell segmentation. In: Proceeding of 3rd international symposium biomedical engineering, pp 356\u2013359"},{"key":"3480_CR5","doi-asserted-by":"crossref","unstructured":"Jiang K, Liao QM, Dai S-Y (2003) A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering. In: Proceeding of international conference machine Learning cybernetics, vol 5, pp 2820\u20132825","DOI":"10.1109\/ICMLC.2003.1260033"},{"issue":"2","key":"3480_CR6","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/s13534-012-0056-9","volume":"2","author":"S Mohapatra","year":"2012","unstructured":"Mohapatra S, Patra D, Kumar S, Satpathy S (2012) Lymphocyte image segmentation using functional link neural architecture for acute leukemia detection. Biomed Eng Lett 2(2):100\u2013110","journal-title":"Biomed Eng Lett"},{"issue":"3","key":"3480_CR7","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.artmed.2014.09.002","volume":"62","author":"L Putzu","year":"2014","unstructured":"Putzu L, Caocci G, Di Ruberto C (2014) Leucocyte classification for leukaemia detection using image processing techniques. Artif Intell Med 62(3):179\u2013191","journal-title":"Artif Intell Med"},{"key":"3480_CR8","doi-asserted-by":"crossref","unstructured":"Wu J, Zeng P, Zhou Y Olivier C (2006) A novel color image segmentation method and its application to white blood cell image analysis. In: Proceeding of 8th international conference of signal processing, vol\u00a02","DOI":"10.1109\/ICOSP.2006.345700"},{"issue":"7","key":"3480_CR9","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.micron.2011.03.009","volume":"42","author":"BC Ko","year":"2011","unstructured":"Ko BC, Gim JW, Nam J-Y (2011) Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake. Micron 42(7):695\u2013705","journal-title":"Micron"},{"issue":"6","key":"3480_CR10","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1007\/s00521-011-0522-9","volume":"21","author":"C Pan","year":"2012","unstructured":"Pan C, Park DS, Yang Y (2012) Leukocyte image segmentation by visual attention and extreme learning machine. Neural Comput Appl 21(6):1217\u20131227","journal-title":"Neural Comput Appl"},{"key":"3480_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2391-8","author":"F Cao","year":"2016","unstructured":"Cao F, Cai M, Chu J, Zhao J, Zhou Z (2016) A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. Neural Comput Appl. \n                    https:\/\/doi.org\/10.1007\/s00521-016-2391-8","journal-title":"Neural Comput Appl"},{"key":"3480_CR12","doi-asserted-by":"crossref","unstructured":"Rezatofighi S, Soltanian-Zadeh H, Sharifia R, Zoroofi R (2009) A new approach to white blood cell nucleus segmentation based on Gram-Schmidt orthogonalization. In: Proceeding of international conference digital image processing, pp 107\u2013111","DOI":"10.1109\/ICDIP.2009.19"},{"issue":"3","key":"3480_CR13","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1109\/83.661186","volume":"7","author":"C Xu","year":"1998","unstructured":"Xu C, Prince JL (1998) Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 7(3):359\u2013369","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"3480_CR14","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"P Felzenszwalb","year":"2010","unstructured":"Felzenszwalb P, Girshick R, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627\u20131645","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3480_CR15","doi-asserted-by":"crossref","unstructured":"Lampert CH, Blaschko M, Hofmann T (2008) Beyond sliding windows: object localization by efficient subwindow search. In: Proceeding of IEEE conference computer vision pattern recognition (CVPR), pp\u00a01\u20138","DOI":"10.1109\/CVPR.2008.4587586"},{"key":"3480_CR16","doi-asserted-by":"crossref","unstructured":"Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: Proceeding of IEEE conference of computer vision pattern recognition (CVPR), vol 1, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"issue":"11","key":"3480_CR17","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1109\/TPAMI.2012.28","volume":"34","author":"B Alexe","year":"2012","unstructured":"Alexe B, Deselaers T, Ferrari V (2012) Measuring the objectness of image windows. IEEE Trans Pattern Anal Mach Intell 34(11):2189\u20132202","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3480_CR18","doi-asserted-by":"crossref","unstructured":"Alexe B, Deselaers T, Ferrari V (2010) What is an object? In: Proceeding of IEEE conference computer vision pattern recognition (CVPR), pp\u00a073\u201380","DOI":"10.1109\/CVPR.2010.5540226"},{"key":"3480_CR19","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"C Rother","year":"2004","unstructured":"Rother C, Kolmogorov V, Blake A (2004) Grabcut: interactive foreground extraction using iterated graph cuts. ACM Trans Graph (TOG) 23:309\u2013314","journal-title":"ACM Trans Graph (TOG)"},{"key":"3480_CR20","volume-title":"Blood: principles and practice of hematology","author":"RI Handin","year":"2003","unstructured":"Handin RI, Lux SE, Stossel TP (2003) Blood: principles and practice of hematology, vol 1. Lippincott Williams & Wilkins, Philadelphia"},{"issue":"6","key":"3480_CR21","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679\u2013698","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3480_CR22","volume-title":"Statistical learning theory","author":"VN Vapnik","year":"1998","unstructured":"Vapnik VN (1998) Statistical learning theory, vol 2. Wiley, New York"},{"key":"3480_CR23","volume-title":"Digital image processing","author":"R Gonzalez","year":"2008","unstructured":"Gonzalez R, Woods R (2008) Digital image processing. Pearson\/Prentice Hall, Upper Saddle River"},{"issue":"2","key":"3480_CR24","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S0262-8856(01)00092-0","volume":"20","author":"C Ruberto Di","year":"2002","unstructured":"Di Ruberto C, Dempster A, Khan S, Jarra B (2002) Analysis of infected blood cell images using morphological operators. Image Vis Comput 20(2):133\u2013146","journal-title":"Image Vis Comput"},{"key":"3480_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2:1\u201327","journal-title":"ACM Trans Intell Syst Technol"},{"key":"3480_CR26","doi-asserted-by":"crossref","unstructured":"Chinchor N, Sundheim B (1993) Muc-5 evaluation metrics. In: Proceeding of 5th conference of message understanding, pp 69\u201378","DOI":"10.3115\/1072017.1072026"},{"key":"3480_CR27","unstructured":"Sasaki Y (2007) The truth of the f-measure. Teach Tut Mater Version"},{"key":"3480_CR28","doi-asserted-by":"crossref","unstructured":"Tareef A, Song Y, Cai W, Wang Y, Feng DD, Chen M (2016) Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement. In: 13th IEEE international symposium on biomedical imaging, pp\u00a0935\u2013938","DOI":"10.1109\/ISBI.2016.7493418"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3480-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3480-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3480-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,20]],"date-time":"2019-10-20T20:48:21Z","timestamp":1571604501000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3480-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,2]]},"references-count":28,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["3480"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3480-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,2]]},"assertion":[{"value":"21 July 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2018","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"}}]}}