iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1016/J.ASOC.2013.08.011
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T08:16:15Z","timestamp":1720512975172},"reference-count":31,"publisher":"Elsevier BV","content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2014,1]]},"DOI":"10.1016\/j.asoc.2013.08.011","type":"journal-article","created":{"date-parts":[[2013,9,19]],"date-time":"2013-09-19T05:34:56Z","timestamp":1379568896000},"page":"62-71","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":77,"special_numbering":"PA","title":["MRI breast cancer diagnosis hybrid approach using adaptive ant-based segmentation and multilayer perceptron neural networks classifier"],"prefix":"10.1016","volume":"14","author":[{"given":"Aboul Ella","family":"Hassanien","sequence":"first","affiliation":[]},{"given":"Hossam M.","family":"Moftah","sequence":"additional","affiliation":[]},{"given":"Ahmad Taher","family":"Azar","sequence":"additional","affiliation":[]},{"given":"Mahmoud","family":"Shoman","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.asoc.2013.08.011_bib0005","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.jal.2012.07.003","article-title":"Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks","volume":"10","author":"Hassanien","year":"2012","journal-title":"Journal of Applied Logic"},{"issue":"4\u20135","key":"10.1016\/j.asoc.2013.08.011_bib0010","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.compmedimag.2007.02.007","article-title":"Computer assistance for MR based diagnosis of breast cancer: present and future challenges","volume":"31","author":"Behrens","year":"2007","journal-title":"Computerized Medical Imaging and Graphics"},{"key":"10.1016\/j.asoc.2013.08.011_bib0015","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/11559573_20","article-title":"Type-2 fuzzy image enhancement","volume":"3656","author":"Ensafi","year":"2005","journal-title":"Lecture Notes in Computer Science"},{"key":"10.1016\/j.asoc.2013.08.011_bib0020","series-title":"Proceedings of the 5th International Conference on Enterprise Information Systems (ICEIS)","first-page":"165","article-title":"MR-Brain Image Segmentation Using Gaussian Multiresolution Analysis and the EM Algorithm","author":"Tolba","year":"2003"},{"issue":"1","key":"10.1016\/j.asoc.2013.08.011_bib0025","doi-asserted-by":"crossref","first-page":"117","DOI":"10.7763\/LNSE.2013.V1.26","article-title":"Medical diagnostics using cloud computing with fuzzylogic and uncertainty factors in mobile devices","volume":"1","author":"Aswin","year":"2013","journal-title":"Lecture Notes on Software Engineering"},{"key":"10.1016\/j.asoc.2013.08.011_bib0030","series-title":"6th International Conference Soft Cmputing, vol. 87","first-page":"77","article-title":"Contrast enhancement of breast MRI images based on fuzzy Type-II, soft computing models in industrial and environmental applications","author":"Hassanien","year":"2011"},{"key":"10.1016\/j.asoc.2013.08.011_bib0035","series-title":"Online Conference on Soft Computing in Industrial Applications Anyware on Earth, December 10\u201321","article-title":"Breast MRI tumour segmentation using modified automatic seeded region growing based on particle swarm optimization image clustering","author":"Ali","year":"2012"},{"key":"10.1016\/j.asoc.2013.08.011_bib0040","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","article-title":"Data clustering: 50 years beyond K-means","volume":"31","author":"Jain","year":"2010","journal-title":"Pattern Recognition Letters"},{"issue":"13","key":"10.1016\/j.asoc.2013.08.011_bib0045","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1016\/S0262-8856(00)00045-7","article-title":"Analysis and evolution of hard and fuzzy clustering segmentation techniques in burned patient images","volume":"18","author":"Betanzosa","year":"2000","journal-title":"Image and Vision Computing"},{"issue":"2","key":"10.1016\/j.asoc.2013.08.011_bib0050","article-title":"Fuzzy clustering based malignant areas detection in noisy breast magnetic resonant (MR) images","volume":"3","author":"Hussain","year":"2011","journal-title":"International Journal of Academic Research"},{"key":"10.1016\/j.asoc.2013.08.011_bib0055","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1109\/EIT.2007.4374523","article-title":"Particle Swarm Optimization for classification of breast cancer data using single and multisurface methods of data separation","author":"Tewolde","year":"2007","journal-title":"IEEE International Conference on Electro\/Information Technology"},{"key":"10.1016\/j.asoc.2013.08.011_bib0060","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1007\/978-3-642-35326-0_40","article-title":"An enhanced cloud-based view materialization approach for peer-to-peer architecture","volume":"322","author":"Megahed","year":"2012","journal-title":"Communications in Computer and Information Science"},{"issue":"5","key":"10.1016\/j.asoc.2013.08.011_bib0065","doi-asserted-by":"crossref","first-page":"e37018","DOI":"10.1371\/journal.pone.0037018","article-title":"An improved PSO algorithm for generating protective SNP barcodes in breast cancer","volume":"7","author":"Chuang","year":"2012","journal-title":"PLoS ONE"},{"issue":"4","key":"10.1016\/j.asoc.2013.08.011_bib0070","doi-asserted-by":"crossref","first-page":"8204","DOI":"10.1016\/j.eswa.2008.10.004","article-title":"A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method","volume":"36","author":"Wei-Chang","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.1016\/j.asoc.2013.08.011_bib0075","first-page":"157","article-title":"Segmentation of computed tomography brain images using genetic algorithm","volume":"4","author":"Ganesan","year":"2009","journal-title":"International Journal of Soft Computing"},{"key":"10.1016\/j.asoc.2013.08.011_bib0080","article-title":"A CAD system for breast cancer diagnosis using modified genetic algorithm optimized artificial neural network","volume":"10","author":"Dheeba","year":"2013","journal-title":"Swarm, Evolutionary, and Memetic Computing"},{"key":"10.1016\/j.asoc.2013.08.011_bib0085","first-page":"349","article-title":"A new method for medical image clustering using genetic algorithm","volume":"7076","author":"Akbar","year":"2011","journal-title":"IJCSI International Journal of Computer Science Issues"},{"issue":"1","key":"10.1016\/j.asoc.2013.08.011_bib0090","article-title":"A genetic algorithm for clustering on image data","volume":"1","author":"Qin","year":"2005","journal-title":"International Journal of Information and Mathematical Sciences"},{"issue":"3","key":"10.1016\/j.asoc.2013.08.011_bib0095","doi-asserted-by":"crossref","first-page":"162","DOI":"10.3844\/jcssp.2007.162.167","article-title":"An efficient ant algorithm for swarm-based image clustering","volume":"3","author":"Salima","year":"2007","journal-title":"Journal of Computer Science"},{"key":"10.1016\/j.asoc.2013.08.011_bib0100","first-page":"1556","article-title":"Ant colony optimization \u2013 artificial ants as a computational intelligence technique","author":"Marco","year":"2006","journal-title":"IEEE Computational Intelligence Magazine"},{"key":"10.1016\/j.asoc.2013.08.011_bib0105","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/3477.484436","article-title":"Ant system: optimization by a colony of cooperating agents","volume":"26","author":"Dorigo","year":"1996","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B"},{"key":"10.1016\/j.asoc.2013.08.011_bib0110","doi-asserted-by":"crossref","unstructured":"L. Zhang, Q. Cao, J. Lee, A novel ant-based clustering algorithm using Renyi entropy, Applied Soft Computing, Available online 5 December 2012.","DOI":"10.1016\/j.asoc.2012.11.022"},{"issue":"8","key":"10.1016\/j.asoc.2013.08.011_bib0115","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.compmedimag.2012.07.004","article-title":"Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images","volume":"36","author":"Wua","year":"2012","journal-title":"Computerized Medical Imaging and Graphics"},{"issue":"3","key":"10.1016\/j.asoc.2013.08.011_bib0120","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/j.engappai.2012.10.013","article-title":"A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer","volume":"26","author":"Karaks","year":"2013","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"4","key":"10.1016\/j.asoc.2013.08.011_bib0125","doi-asserted-by":"crossref","first-page":"8204","DOI":"10.1016\/j.eswa.2008.10.004","article-title":"A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method","volume":"36","author":"Yeh","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"10.1016\/j.asoc.2013.08.011_bib0130","doi-asserted-by":"crossref","first-page":"155","DOI":"10.3233\/HIS-2009-0092","article-title":"Intelligence techniques for prostate ultrasound image analysis","volume":"6","author":"Hassanien","year":"2009","journal-title":"International Journal of Hybrid Intelligent Systems"},{"key":"10.1016\/j.asoc.2013.08.011_bib0135","series-title":"SAB 90-1st Conf. on Simulation of Adaptive Behavior: From Animals to Animats","article-title":"The dynamic of collective sorting robot-like ants and ant-like robots","author":"Deneubourg","year":"1991"},{"issue":"2","key":"10.1016\/j.asoc.2013.08.011_bib0140","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/BF01417909","article-title":"The self-organizing exploratory pattern of the argentine ant","volume":"3","author":"Deneubourg","year":"1990","journal-title":"Journal of Insect Behavior"},{"key":"10.1016\/j.asoc.2013.08.011_bib0145","series-title":"From Animals to Animats 3, Proceedings of the 3rd International Conference on the Simulation of Adaptive Behavior","article-title":"Diversity and adaptation in populations of clustering ants","author":"Lumer","year":"1994"},{"key":"10.1016\/j.asoc.2013.08.011_bib0150","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Clopinet","year":"2003","journal-title":"The Journal of Machine Learning Research"},{"key":"10.1016\/j.asoc.2013.08.011_bib0155","first-page":"447","article-title":"Unsupervised texture segmentation using feature distribution","volume":"32","author":"Ojola","year":"1999","journal-title":"Pattern Recognition"}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494613002846?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494613002846?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,7,24]],"date-time":"2019-07-24T06:28:31Z","timestamp":1563949711000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494613002846"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":31,"alternative-id":["S1568494613002846"],"URL":"http:\/\/dx.doi.org\/10.1016\/j.asoc.2013.08.011","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2014,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MRI breast cancer diagnosis hybrid approach using adaptive ant-based segmentation and multilayer perceptron neural networks classifier","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2013.08.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}