{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:00:45Z","timestamp":1725516045358},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642344992"},{"type":"electronic","value":"9783642345005"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-34500-5_79","type":"book-chapter","created":{"date-parts":[[2012,11,5]],"date-time":"2012-11-05T04:27:50Z","timestamp":1352089670000},"page":"672-680","source":"Crossref","is-referenced-by-count":0,"title":["Medical Image Thresholding Using Online Trained Neural Networks"],"prefix":"10.1007","author":[{"given":"Ahmed A.","family":"Othman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"79_CR1","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. Journal of Electronic Imaging\u00a013, 146\u2013165 (2004)","journal-title":"Journal of Electronic Imaging"},{"key":"79_CR2","doi-asserted-by":"publisher","first-page":"2363","DOI":"10.1016\/j.patcog.2005.02.014","volume":"38","author":"H.R. Tizhoosh","year":"2005","unstructured":"Tizhoosh, H.R.: Image thresholding using type II fuzzy sets. Pattern Recognition\u00a038, 2363\u20132372 (2005)","journal-title":"Pattern Recognition"},{"key":"79_CR3","doi-asserted-by":"publisher","first-page":"1968","DOI":"10.1016\/j.patrec.2006.05.006","volume":"27","author":"D. Liu","year":"2006","unstructured":"Liu, D., Jiang, Z., Feng, H.: A novel fuzzy classification entropy approach to image thresholding. Pattern Recognition Letters\u00a027, 1968\u20131975 (2006)","journal-title":"Pattern Recognition Letters"},{"key":"79_CR4","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.patcog.2006.05.006","volume":"40","author":"Y. Bazi","year":"2007","unstructured":"Bazi, Y., Bruzzone, L., Melgani, F.: Image thresholding based on the EM algorithm and the generalized Gaussian distribution. Pattern Recognition\u00a040, 619\u2013634 (2007)","journal-title":"Pattern Recognition"},{"key":"79_CR5","doi-asserted-by":"publisher","first-page":"2516","DOI":"10.1016\/j.sigpro.2007.04.001","volume":"87","author":"A. Nakib","year":"2007","unstructured":"Nakib, A., Oulhadj, H., Siarry, P.: Image histogram thresholding based on multiobjective optimization. Signal Processing\u00a087, 2516\u20132534 (2007)","journal-title":"Signal Processing"},{"key":"79_CR6","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.cviu.2007.09.001","volume":"109","author":"K. Hammouche","year":"2008","unstructured":"Hammouche, K., Diaf, M., Siarry, P.: A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation. Computer Vision and Image Understanding\u00a0109, 163\u2013175 (2008)","journal-title":"Computer Vision and Image Understanding"},{"key":"79_CR7","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.patcog.2007.03.029","volume":"41","author":"S. Wang","year":"2008","unstructured":"Wang, S., Chung, F., Xiong, F.: A novel image thresholding method based on Parzen window estimate. Pattern Recognition\u00a041, 117\u2013129 (2008)","journal-title":"Pattern Recognition"},{"key":"79_CR8","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.engappai.2008.07.005","volume":"22","author":"A. Nakib","year":"2009","unstructured":"Nakib, A., Oulhadj, H., Siarry, P.: Fractional differentiation and non-Pareto multiobjective optimization for image thresholding. Engineering Applications of Artificial Intelligence\u00a022, 236\u2013249 (2009)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"79_CR9","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1016\/j.aeue.2009.11.011","volume":"64","author":"Z. Li","year":"2010","unstructured":"Li, Z., Liu, C., Liu, G., Cheng, Y., Yang, X., Zhao, C.: A novel statistical image thresholding method. International Journal of Electronics and Communications\u00a064, 1137\u20131147 (2010)","journal-title":"International Journal of Electronics and Communications"},{"key":"79_CR10","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1016\/j.imavis.2011.06.003","volume":"29","author":"J.H. Xue","year":"2011","unstructured":"Xue, J.H., Titterington, D.M.: Median-based image thresholding. Image and Vision Computing\u00a029, 631\u2013637 (2011)","journal-title":"Image and Vision Computing"},{"key":"79_CR11","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/j.medengphy.2009.07.001","volume":"31","author":"J. Lee","year":"2009","unstructured":"Lee, J., Steele, C.M., Chau, T.: Swallow segmentation with artificial neural networks and multi-sensor fusion. Medical Engineering & Physics\u00a031, 1049\u20131055 (2009)","journal-title":"Medical Engineering & Physics"},{"key":"79_CR12","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.cmpb.2006.10.010","volume":"85","author":"M.N. Kurnaz","year":"2007","unstructured":"Kurnaz, M.N., Dokur, Z., \u00d6lmez, T.: An incremental neural network for tissue segmentation in ultrasound images. Computer Methods and Programs in Biomedicine\u00a085, 187\u2013195 (2007)","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"79_CR13","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1016\/j.eswa.2006.09.017","volume":"34","author":"Z. Dokur","year":"2008","unstructured":"Dokur, Z.: A unified framework for image compression and segmentation by using an incremental neural network. Expert Systems with Applications\u00a034, 611\u2013619 (2008)","journal-title":"Expert Systems with Applications"},{"key":"79_CR14","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1016\/j.dsp.2009.03.001","volume":"19","author":"Z. Iscan","year":"2009","unstructured":"Iscan, Z., Y\u00fcksel, A., Dokur, Z., Kor\u00fcrek, M., \u00d6lmez, T.: Medical image segmentation with transform and moment based features and incremental supervised neural network. Digital Signal Processing\u00a019, 890\u2013901 (2009)","journal-title":"Digital Signal Processing"},{"key":"79_CR15","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.compmedimag.2009.12.002","volume":"34","author":"J.C. Fu","year":"2010","unstructured":"Fu, J.C., Chen, C.C., Chai, J.W., Wong, S.T.C., Li, I.C.: Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging. Computerized Medical Imaging and Graphics\u00a034, 308\u2013320 (2010)","journal-title":"Computerized Medical Imaging and Graphics"},{"key":"79_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/11744023_32","volume-title":"Computer Vision \u2013 ECCV 2006","author":"H. Bay","year":"2006","unstructured":"Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03951, pp. 404\u2013417. Springer, Heidelberg (2006)"},{"key":"79_CR17","series-title":"IFIP AICT","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-642-23957-1_30","volume-title":"Engineering Applications of Neural Networks","author":"A.A. Othman","year":"2011","unstructured":"Othman, A.A., Tizhoosh, H.R.: Segmentation of Breast Ultrasound Images Using Neural Networks. In: Iliadis, L., Jayne, C. (eds.) Engineering Applications of Neural Networks. IFIP AICT, vol.\u00a0363, pp. 260\u2013269. Springer, Heidelberg (2011)"},{"key":"79_CR18","first-page":"119","volume":"33","author":"N. Sharma","year":"2008","unstructured":"Sharma, N., Ray, A.K., Sharma, S., Shukla, K.K., Pradhan, S., Aggarwal, L.M.: Segmentation and classification of medical images using texture-primitive features. Application of BAM-Type Artificial Neural Network\u00a033, 119\u2013126 (2008)","journal-title":"Application of BAM-Type Artificial Neural Network"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34500-5_79.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T08:56:41Z","timestamp":1620118601000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-34500-5_79"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642344992","9783642345005"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34500-5_79","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}