{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:19:32Z","timestamp":1725664772164},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540594970"},{"type":"electronic","value":"9783540492887"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1995]]},"DOI":"10.1007\/3-540-59497-3_260","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T12:23:05Z","timestamp":1330258985000},"page":"860-867","source":"Crossref","is-referenced-by-count":0,"title":["Optimization neural networks for image segmentation"],"prefix":"10.1007","author":[{"given":"D. L.","family":"Vilari\u00f1o","sequence":"first","affiliation":[]},{"given":"D.","family":"Cabello","sequence":"additional","affiliation":[]},{"given":"A.","family":"Mosquera","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,1]]},"reference":[{"issue":"No 2","key":"112_CR1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/42.141645","volume":"11","author":"S.C. Amartur","year":"1992","unstructured":"Amartur, S.C.; D. Piraino and Y. Takefuji (1992). Optimisation Neural Networks for the Segmentation of Magnetic Resonance Images. IEEE Transactions on Medical Imaging, Vol. 11, No 2, pp. 215\u2013220.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"112_CR2","doi-asserted-by":"crossref","unstructured":"Bezdeck, J.C.; E. Chen-kuo Tsao and N.R. Pal (1992). Fuzzy Kohonen clustering network. Proc. first IEEE Conf. on Fuzzy Systems, pp. 1035\u20131043. San Diego, 1992.","DOI":"10.1109\/FUZZY.1992.258797"},{"issue":"no.1","key":"112_CR3","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1109\/TPAMI.1983.4767341","volume":"PAMI-5","author":"G.R. Cross","year":"1983","unstructured":"Cross, G.R. and A.K. Jain (1983). Markov Random Field Texture Models. IEEE Trans. Pattern Analis. Machine Intell., vol. PAMI-5, no. 1, pp. 25\u201339.","journal-title":"IEEE Trans. Pattern Analis. Machine Intell."},{"issue":"no.1","key":"112_CR4","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/TPAMI.1987.4767871","volume":"PAMI-9","author":"H. Derin","year":"1987","unstructured":"Derin, H. and H. Elliot (1987). Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields. IEEE Trans. Pattern Analis. Machine Intell., vol. PAMI-9, no.1, pp. 39\u201355.","journal-title":"IEEE Trans. Pattern Analis. Machine Intell."},{"issue":"n.5","key":"112_CR5","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1109\/72.159057","volume":"3","author":"L.O. Hall","year":"1992","unstructured":"Hall, L.O.; A.M. Bensaid; L.P. Clarke; R.P. Velthuizen; M.S. Silbiger and J.C. Bezdeck (1992). A comparison of Neural Networks and Fuzzy clustering tecniques in Segmenting Magnetic Resonance Images of the Brain. IEEE Trans. Neural Network, vol. 3, n. 5, pp. 672\u2013682.","journal-title":"IEEE Trans. Neural Network"},{"key":"112_CR6","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.1073\/pnas.81.10.3088","volume":"81","author":"J. J. Hopfield","year":"1984","unstructured":"Hopfield J. J. (1984). Neurons with a grade response have collective computational properties like those of two state neurons. Proceedings of the National Academy of Science USA, 81, pp. 3088\u20133092.","journal-title":"Proceedings of the National Academy of Science USA"},{"issue":"Number5","key":"112_CR7","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/0167-8655(92)90032-U","volume":"13","author":"C. L. Huang","year":"1992","unstructured":"Huang, Ch. L. (1992). Parallel image segmentation using modified Hopfield model. Pattern Reconigtion Letters Vol. 13 Number 5, pp. 345\u2013353.","journal-title":"Pattern Reconigtion Letters"},{"key":"112_CR8","doi-asserted-by":"crossref","unstructured":"Hush, D.R. and B.G. Horne (1993): Progress in Supervised Neural Network, What's news since Lipmann?. IEEE Signal Processing Magazine, pp. 8\u201339.","DOI":"10.1109\/79.180705"},{"key":"112_CR9","doi-asserted-by":"crossref","unstructured":"Kamgar-Parsi, B.; J.A. Gualtieri; J.E. Devaney and B. Kamgar-Parsi (1990) Clustering with Neural Networks. Biological Cybernetics, pp. 201\u2013208.","DOI":"10.1007\/BF00195859"},{"issue":"no.1","key":"112_CR10","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/TIT.1983.1056610","volume":"IT-29","author":"R. L. Kashyap","year":"1983","unstructured":"Kashyap, R. L. and R. Chellappa (1983). Estimation and Choice of Neighbors in Spatial-interaction Models of Images. IEEE Trans. Inform. Theory, vol. IT-29, no.1, pp. 60\u201372.","journal-title":"IEEE Trans. Inform. Theory"},{"issue":"No 6","key":"112_CR11","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1109\/29.56064","volume":"38","author":"B.S. Manhunath","year":"1990","unstructured":"Manhunath, B.S.; T. Simchon and R. Chellapa (1990) Stochastic and Deterministic Networks for texture segmentation. IEEE Trans. Acoustic, Speech and Signal Processing, vol. 38, No 6, pp. 1039\u20131049.","journal-title":"IEEE Trans. Acoustic, Speech and Signal Processing"},{"key":"112_CR12","series-title":"Lecture notes in Computer Science, vol. 686","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1007\/3-540-56798-4_217","volume-title":"New trends in Neural in Neural Computation","author":"A. Mosquera","year":"1993","unstructured":"Mosquera, A.; D. Cabello; M. J. Carreira and M.G. Penedo (1993). Texture Image Segmentation Using a Modified Hopfield Network. In New trends in Neural in Neural Computation (J. Mira; J. Cabestany y A. Prieto, eds.). Lecture notes in Computer Science, vol. 686, pp. 657\u2013663. Springer-Verlag, Berlin."},{"issue":"9","key":"112_CR13","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/0031-3203(93)90135-J","volume":"26","author":"N.R. Pal","year":"1993","unstructured":"Pal, N.R. and S.K. Pal (1993). A review on image segmentation techniques. Pattern Recognition, 26,9, pp.1277\u20131294.","journal-title":"Pattern Recognition"},{"key":"112_CR14","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1109\/TIT.1972.1054786","volume":"18","author":"J.W. Woods","year":"1972","unstructured":"Woods, J.W. (1972). Two-dimensional discrete Markovian Fields. IEEE Trans. Information Theory, vol.18, pp.232\u2013240.","journal-title":"IEEE Trans. Information Theory"}],"container-title":["Lecture Notes in Computer Science","From Natural to Artificial Neural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-59497-3_260.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T16:27:54Z","timestamp":1605630474000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-59497-3_260"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995]]},"ISBN":["9783540594970","9783540492887"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/3-540-59497-3_260","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1995]]}}}