{"id":"https://openalex.org/W4408355090","doi":"https://doi.org/10.1109/icassp49660.2025.10890136","title":"A Fuzzy C-Means Clustering Algorithm for Real Medical Image Segmentation","display_name":"A Fuzzy C-Means Clustering Algorithm for Real Medical Image Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355090","doi":"https://doi.org/10.1109/icassp49660.2025.10890136"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100406152","display_name":"Feifei Zhang","orcid":"https://orcid.org/0000-0003-1382-2911"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Zhang","raw_affiliation_strings":["Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646738","display_name":"Fei Shi","orcid":"https://orcid.org/0000-0003-2596-6955"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shi","raw_affiliation_strings":["Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052976667","display_name":"Dayong Ren","orcid":"https://orcid.org/0000-0002-2943-0931"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayong Ren","raw_affiliation_strings":["Nanjing University,National Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,National Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035671153","display_name":"Yue Li","orcid":"https://orcid.org/0000-0002-0222-9859"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Computer Science and Technology,Urumqi,China,830046","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.7038000226020813,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.7038000226020813,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.682699978351593,"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/T10057","display_name":"Face and Expression Recognition","score":0.6025000214576721,"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/computer-science","display_name":"Computer science","score":0.6907063722610474},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6775215268135071},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6185054779052734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746299624443054},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5051224827766418},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47469133138656616},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4717472493648529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4608021080493927},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4421250522136688},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43249449133872986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4146912097930908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39237162470817566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907063722610474},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6775215268135071},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6185054779052734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746299624443054},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5051224827766418},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47469133138656616},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4717472493648529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4608021080493927},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4421250522136688},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43249449133872986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4146912097930908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39237162470817566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1589895371","https://openalex.org/W1779718467","https://openalex.org/W1992147426","https://openalex.org/W2000064372","https://openalex.org/W2108859253","https://openalex.org/W2115242586","https://openalex.org/W2150534249","https://openalex.org/W2620660154","https://openalex.org/W2757003988","https://openalex.org/W2785177491","https://openalex.org/W3016931297","https://openalex.org/W3033235469","https://openalex.org/W3168822248","https://openalex.org/W3170697543","https://openalex.org/W3176096490","https://openalex.org/W3202938143","https://openalex.org/W4233473386","https://openalex.org/W4281711446","https://openalex.org/W4293801829","https://openalex.org/W4308055694","https://openalex.org/W4378648825","https://openalex.org/W4379802935","https://openalex.org/W4380237273","https://openalex.org/W4382203589","https://openalex.org/W4396912460","https://openalex.org/W4399039135","https://openalex.org/W4402702982","https://openalex.org/W4404893073","https://openalex.org/W6858049653"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"In":[0,34],"the":[1,7,15,29,68,90,112,124,127],"field":[2],"of":[3,9,17,31,67,103,111,126,149],"medical":[4,73],"image":[5,84,106,138],"processing,":[6],"presence":[8],"noise":[10,39,69],"can":[11,23],"often":[12],"result":[13],"in":[14,21,119,147],"obfuscation":[16],"crucial":[18],"details,":[19,107],"which":[20,62],"turn":[22],"have":[24],"a":[25,47],"detrimental":[26],"impact":[27],"on":[28],"accuracy":[30,125],"clinical":[32],"diagnoses.":[33],"order":[35],"to":[36,72,81,116],"effectively":[37],"remove":[38],"and":[40,94,140,143],"improve":[41],"segmentation":[42,128,141],"performance,":[43],"this":[44],"paper":[45],"proposes":[46],"refined":[48],"Fuzzy":[49],"C-Means":[50],"(FCM)":[51],"algorithm,":[52],"designated":[53],"as":[54],"MKL-FCM.":[55],"The":[56,130],"method":[57],"commences":[58],"with":[59],"Poisson":[60],"denoising,":[61],"enables":[63],"more":[64],"effective":[65],"handling":[66],"characteristics":[70],"inherent":[71],"images.":[74],"Subsequently,":[75],"multi-scale":[76],"Kullback-Leibler":[77],"divergence":[78],"is":[79],"utilised":[80],"analyse":[82],"local":[83],"information":[85],"across":[86],"varying":[87],"scales,":[88],"facilitating":[89],"differentiation":[91],"between":[92],"tissues":[93],"pathological":[95],"regions.":[96],"Furthermore,":[97],"tight":[98],"wavelet":[99],"frames":[100],"are":[101],"capable":[102],"capturing":[104],"fine":[105],"while":[108],"reverse":[109],"optimisation":[110],"objective":[113],"function":[114],"serves":[115],"correct":[117],"errors":[118],"feature":[120],"reconstruction,":[121],"thereby":[122],"enhancing":[123],"process.":[129],"experimental":[131],"results":[132],"demonstrate":[133],"that":[134],"MKL-FCM":[135],"enhances":[136],"both":[137],"clarity":[139],"accuracy,":[142],"outperforms":[144],"existing":[145],"methods":[146],"terms":[148],"efficiency.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}