{"id":"https://openalex.org/W2038061950","doi":"https://doi.org/10.1109/cec.2010.5586282","title":"Real-coded differential crisp clustering for MRI brain image segmentation","display_name":"Real-coded differential crisp clustering for MRI brain image segmentation","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2038061950","doi":"https://doi.org/10.1109/cec.2010.5586282","mag":"2038061950"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2010.5586282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5586282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003577135","display_name":"Indrajit Saha","orcid":"https://orcid.org/0000-0001-9513-9707"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]},{"id":"https://openalex.org/I47996466","display_name":"University of Warmia and Mazury in Olsztyn","ror":"https://ror.org/05s4feg49","country_code":"PL","type":"education","lineage":["https://openalex.org/I47996466"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Indrajit Saha","raw_affiliation_strings":["Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland","Interdisciplinary Centre for Mathematical and Computational Modeling (ICM), University of Warsaw, 02-106 Warsaw, Poland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland","institution_ids":["https://openalex.org/I47996466"]},{"raw_affiliation_string":"Interdisciplinary Centre for Mathematical and Computational Modeling (ICM), University of Warsaw, 02-106 Warsaw, Poland#TAB#","institution_ids":["https://openalex.org/I4654613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072356717","display_name":"Ujjwal Maulik","orcid":"https://orcid.org/0000-0003-1167-0774"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ujjwal Maulik","raw_affiliation_strings":["Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India","Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032 West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032 West Bengal, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036061149","display_name":"Sanghamitra Bandyopadhyay","orcid":"https://orcid.org/0000-0001-6370-2083"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanghamitra Bandyopadhyay","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India","Machine Intelligence Unit, Indian Statistical Institute, Kolkata-700108, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata-700108, West Bengal, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021916927","display_name":"Dariusz Plewczy\u0144ski","orcid":"https://orcid.org/0000-0002-3840-7610"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]},{"id":"https://openalex.org/I47996466","display_name":"University of Warmia and Mazury in Olsztyn","ror":"https://ror.org/05s4feg49","country_code":"PL","type":"education","lineage":["https://openalex.org/I47996466"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dariusz Plewczynski","raw_affiliation_strings":["Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland","Interdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, 02-106 Warsaw, Poland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland","institution_ids":["https://openalex.org/I47996466"]},{"raw_affiliation_string":"Interdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, 02-106 Warsaw, Poland#TAB#","institution_ids":["https://openalex.org/I4654613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6458,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70391335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"220","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8717080950737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6559498906135559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6456954479217529},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5941792130470276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5779262185096741},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5663890838623047},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5196698904037476},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5158538222312927},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5016994476318359},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.47406238317489624},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4294503927230835},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.41398584842681885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3329929709434509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32645344734191895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21188512444496155}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8717080950737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6559498906135559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456954479217529},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5941792130470276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5779262185096741},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5663890838623047},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5196698904037476},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5158538222312927},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5016994476318359},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.47406238317489624},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4294503927230835},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.41398584842681885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3329929709434509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32645344734191895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21188512444496155},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2010.5586282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2010.5586282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1535128201","https://openalex.org/W1595159159","https://openalex.org/W1623080549","https://openalex.org/W1969076164","https://openalex.org/W1992419399","https://openalex.org/W2024060531","https://openalex.org/W2071965987","https://openalex.org/W2088424609","https://openalex.org/W2103407204","https://openalex.org/W2108044931","https://openalex.org/W2108323654","https://openalex.org/W2125310307","https://openalex.org/W2125836114","https://openalex.org/W2138810473","https://openalex.org/W2171776966","https://openalex.org/W2303923175","https://openalex.org/W2325343629","https://openalex.org/W2532442449","https://openalex.org/W3023540311","https://openalex.org/W4236155230","https://openalex.org/W4236844765","https://openalex.org/W4298018660","https://openalex.org/W4302422232","https://openalex.org/W4400445037","https://openalex.org/W6697906166"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2067147118","https://openalex.org/W2145649715","https://openalex.org/W2392013129","https://openalex.org/W2161410550"],"abstract_inverted_index":{"In":[0],"this":[1,33],"paper,":[2],"a":[3,15],"segmentation":[4],"technique":[5,102],"of":[6,11,26,37,72,124],"multi-spectral":[7],"magnetic":[8,67],"resonance":[9,68],"image":[10],"the":[12,27,46,73,107,120,125],"brain":[13,69],"using":[14],"new":[16],"differential":[17,97],"evolution":[18,98],"based":[19,44,79,84,99],"crisp":[20,80,85,100],"clustering":[21,101],"is":[22,30,52,103,127],"proposed.":[23],"Real-coded":[24],"encoding":[25],"cluster":[28],"centres":[29],"used":[31],"for":[32,62],"purpose.":[34],"Here":[35],"assignments":[36],"points":[38],"to":[39,118],"different":[40],"clusters":[41],"are":[42,91],"made":[43],"on":[45,54],"Euclidean":[47],"distance.":[48],"The":[49],"proposed":[50,74],"method":[51,75],"applied":[53],"several":[55],"simulated":[56,82],"T1-weighted,":[57],"T2-weighted":[58],"and":[59,64,88],"proton":[60],"density":[61],"normal":[63],"MS":[65],"lesion":[66],"images.":[70],"Superiority":[71],"over":[76],"genetic":[77],"algorithm":[78],"clustering,":[81,86],"annealing":[83],"K-means":[87],"average":[89],"linkage":[90],"demonstrated":[92],"quantitatively.":[93],"Segmentation":[94],"obtained":[95],"by":[96],"also":[104],"compared":[105],"with":[106],"available":[108,128],"ground":[109],"truth":[110],"information.":[111],"Also":[112],"statistical":[113],"analysis":[114],"has":[115],"been":[116],"conducted":[117],"judge":[119],"effectiveness.":[121],"Matlab":[122],"version":[123],"software":[126],"at":[129],"http://bio.icm.edu.pl/~darman/MRI.":[130]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}