{"id":"https://openalex.org/W2113817488","doi":"https://doi.org/10.1109/fuzzy.2009.5276878","title":"A generalized spatial fuzzy c-means algorithm for medical image segmentation","display_name":"A generalized spatial fuzzy c-means algorithm for medical image segmentation","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2113817488","doi":"https://doi.org/10.1109/fuzzy.2009.5276878","mag":"2113817488"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5276878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5276878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5013475657","display_name":"Huynh Van Lung","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Huynh Van Lung","raw_affiliation_strings":["University of Ulsan, Ulsan, South Korea","University of Ulsan Ulsan South Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"University of Ulsan Ulsan South Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026778303","display_name":"Jong-Myon Kim","orcid":"https://orcid.org/0000-0002-5185-1062"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Myon Kim","raw_affiliation_strings":["School of Computer Engineering & Information Technology, University of Ulsan, Ulsan, South Korea","Sch. of Comput. Eng. & Inf. Technol., Univ. of Ulsan, Ulsan, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering & Information Technology, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Sch. of Comput. Eng. & Inf. Technol., Univ. of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013475657"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":5.27,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95436251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/image-segmentation","display_name":"Image segmentation","score":0.709255576133728},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6582068204879761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.657838761806488},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6531556248664856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343106031417847},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6236627101898193},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6014277935028076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5942332744598389},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5641828775405884},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5464240312576294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.443755567073822},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4407978653907776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42013323307037354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3746086061000824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24860259890556335}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.709255576133728},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6582068204879761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.657838761806488},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6531556248664856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343106031417847},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6236627101898193},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6014277935028076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5942332744598389},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5641828775405884},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5464240312576294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.443755567073822},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4407978653907776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42013323307037354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3746086061000824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24860259890556335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5276878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5276878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22606518","https://openalex.org/W147723833","https://openalex.org/W1508853606","https://openalex.org/W1963847195","https://openalex.org/W1996747841","https://openalex.org/W2029460817","https://openalex.org/W2033849769","https://openalex.org/W2046778278","https://openalex.org/W2053677366","https://openalex.org/W2108707886","https://openalex.org/W2108843657","https://openalex.org/W2113076747","https://openalex.org/W2114320437","https://openalex.org/W2115242586","https://openalex.org/W2120688485","https://openalex.org/W2149573555","https://openalex.org/W2160172739","https://openalex.org/W2162207417","https://openalex.org/W2170858848","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W1967061043","https://openalex.org/W2549936415","https://openalex.org/W2384989255","https://openalex.org/W2566648451","https://openalex.org/W1982826852","https://openalex.org/W2517104666","https://openalex.org/W134976887","https://openalex.org/W2274529912","https://openalex.org/W2021143974"],"abstract_inverted_index":{"Medical":[0],"image":[1,46],"segmentation":[2,57,93],"is":[3,79],"an":[4],"indispensable":[5],"process":[6],"in":[7,13,115],"viewing":[8],"and":[9,25,73],"measuring":[10],"various":[11,117],"structures":[12],"the":[14,37,74,92,106,111,116],"brain.":[15],"However,":[16],"medical":[17],"images":[18,103],"are":[19],"inherently":[20],"low":[21],"contrast,":[22],"vague":[23],"boundaries,":[24],"high":[26],"correlative.":[27],"The":[28],"traditional":[29,112],"fuzzy":[30],"c-means":[31],"(FCM)":[32],"clustering":[33],"algorithm":[34,109],"considers":[35],"only":[36],"pixel":[38,71],"attributes.":[39,89],"This":[40,90],"leads":[41],"to":[42,82],"accuracy":[43],"degradation":[44],"with":[45,98],"segmentation.":[47],"To":[48],"solve":[49],"this":[50,52],"problem,":[51],"paper":[53],"proposes":[54],"a":[55,60],"robust":[56],"technique,":[58],"called":[59],"Generalized":[61],"Spatial":[62],"Fuzzy":[63],"C-Means":[64],"(GSFCM)":[65],"algorithm,":[66],"that":[67,105],"utilizes":[68],"both":[69],"given":[70],"attributes":[72],"spatial":[75],"local":[76],"information":[77],"which":[78],"weighted":[80],"correspondingly":[81],"neighbor":[83],"elements":[84],"based":[85],"on":[86],"their":[87],"distance":[88],"improves":[91],"performance":[94],"dramatically.":[95],"Experimental":[96],"results":[97],"several":[99],"magnetic":[100],"resonance":[101],"(MR)":[102],"show":[104],"proposed":[107],"GSFCM":[108],"outperforms":[110],"FCM":[113],"algorithms":[114],"cluster":[118],"validity":[119],"functions.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}