{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T20:49:30Z","timestamp":1764276570846},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2011,1,30]],"date-time":"2011-01-30T00:00:00Z","timestamp":1296345600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2012,9]]},"DOI":"10.1007\/s00521-011-0522-9","type":"journal-article","created":{"date-parts":[[2011,1,29]],"date-time":"2011-01-29T05:40:56Z","timestamp":1296279656000},"page":"1217-1227","source":"Crossref","is-referenced-by-count":73,"title":["Leukocyte image segmentation by visual attention and extreme learning machine"],"prefix":"10.1007","volume":"21","author":[{"given":"Chen","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Sun","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyouck Min","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,1,30]]},"reference":[{"issue":"2","key":"522_CR1","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1109\/18.661502","volume":"44","author":"PL Barlett","year":"1998","unstructured":"Barlett PL (1998) The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Trans Inf Theory 44(2):525\u2013536","journal-title":"IEEE Trans Inf Theory"},{"key":"522_CR2","volume-title":"Mathematical morphology in image processing","author":"S Beucher","year":"1992","unstructured":"Beucher S, Meyer F (1992) Mathematical morphology in image processing, vol 12. Marcel Dekker, New York"},{"key":"522_CR3","unstructured":"Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines (Software available at http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm )"},{"issue":"8","key":"522_CR4","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1109\/TNN.2009.2024147","volume":"20","author":"GR Feng","year":"2009","unstructured":"Feng GR, Huang G-B, Lin QP et al (2009) Error minimized extreme learning machine with hidden nodes and incremental learning. IEEE Trans Neural Netw 20(8):1352\u20131357","journal-title":"IEEE Trans Neural Netw"},{"key":"522_CR5","first-page":"264","volume":"2","author":"R Fergus","year":"2003","unstructured":"Fergus R, Perona P, Zisserman A (2003) Object class recognition by unsupervised scale-invariant learning. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR) 2:264\u2013271","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR)"},{"issue":"6","key":"522_CR6","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70(6):489\u2013501","journal-title":"Neurocomputing"},{"issue":"12","key":"522_CR7","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.neucom.2010.02.019","volume":"74","author":"G-B Huang","year":"2010","unstructured":"Huang G-B, Ding X, Zhou HM (2010) Optimization method based extreme learning machine for classification. Neurocomputing 74(12):155\u2013163","journal-title":"Neurocomputing"},{"issue":"14","key":"522_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1167\/8.14.1","volume":"8","author":"OM Jorge","year":"2008","unstructured":"Jorge OM, Xoana GT, Stephen LM et al (2008) Saccades and microsaccades during visual fixation, exploration, and search: foundations for a common saccadic generator. J Vis 8(14):1\u201318","journal-title":"J Vis"},{"issue":"2","key":"522_CR9","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1023\/A:1012460413855","volume":"45","author":"T Kadir","year":"2001","unstructured":"Kadir T, Brady M (2001) Saliency, scale and image description. Int J Comput Vis 45(2):83\u2013105","journal-title":"Int J Comput Vis"},{"issue":"9","key":"522_CR10","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1016\/0031-3203(90)90103-R","volume":"23","author":"YW Lim","year":"1990","unstructured":"Lim YW, Lee SU (1990) On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques. Pattern Recogn 23(9):935\u2013952","journal-title":"Pattern Recogn"},{"key":"522_CR11","unstructured":"Liu J, Leong TY, Chee KB et al (2006) Set-based cascading approaches for magnetic resonance (MR) image segmentation (SCAMIS). In: Proceedings of AMIA annual symposium, pp 504\u2013508"},{"issue":"20","key":"522_CR12","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1016\/j.visres.2009.08.010","volume":"49","author":"R Matrin","year":"2009","unstructured":"Matrin R (2009) Microsaccades: Small steps on a long way. Vis Res 49(20):2415\u20132441","journal-title":"Vis Res"},{"issue":"1","key":"522_CR13","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1978.4309832","volume":"8","author":"N Otsu","year":"1978","unstructured":"Otsu N (1978) A threshold selection method from gray level histogram. IEEE Trans Syst Man Cybernetics 8(1):62\u201366","journal-title":"IEEE Trans Syst Man Cybernetics"},{"issue":"5","key":"522_CR14","first-page":"637","volume":"4","author":"C Pan","year":"2006","unstructured":"Pan C, Fang Y, Yan XG, Zheng X (2006) Robust segmentation for low quality cell images from blood and bone marrow. Int J Control Autom Syst 4(5):637\u2013644","journal-title":"Int J Control Autom Syst"},{"key":"522_CR15","unstructured":"Ren XF, Malik J (2003) Learning a classification model for segmentation. In: Proceedings of 9th IEEE international conference on computer vision (ICCV), vol 1, pp 10\u201316"},{"issue":"1","key":"522_CR16","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/S0004-3702(02)00399-5","volume":"146","author":"YR Sun","year":"2003","unstructured":"Sun YR, Fisher R (2003) Object-based visual attention for computer vision. Artif Intell 146(1):77\u2013123","journal-title":"Artif Intell"},{"issue":"1","key":"522_CR17","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1109\/TITB.2005.855545","volume":"10","author":"ST Wang","year":"2006","unstructured":"Wang ST, Wang M (2006) A new algorithm NDA based on fuzzy cellular neural networks for white blood cell detection. IEEE Trans Inf Technol Biomed 10(1):5\u201310","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"3","key":"522_CR18","first-page":"383","volume":"3","author":"CWT Yeu","year":"2006","unstructured":"Yeu CWT, Lim MH, Huang G-B et al (2006) A new machine learning paradigm for terrain reconstruction. IEEE Trans Geosci Remote Sens 3(3):383\u2013386","journal-title":"IEEE Trans Geosci Remote Sens"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-011-0522-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-011-0522-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-011-0522-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:14:31Z","timestamp":1559096071000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-011-0522-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,1,30]]},"references-count":18,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2012,9]]}},"alternative-id":["522"],"URL":"https:\/\/doi.org\/10.1007\/s00521-011-0522-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,1,30]]}}}