{"id":"https://openalex.org/W2123477989","doi":"https://doi.org/10.1109/chinasip.2013.6625397","title":"Global and local fuzzy clustering with spatial information for medical image segmentation","display_name":"Global and local fuzzy clustering with spatial information for medical image segmentation","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2123477989","doi":"https://doi.org/10.1109/chinasip.2013.6625397","mag":"2123477989"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2013.6625397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","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/A5084457597","display_name":"Wenchao Cui","orcid":"https://orcid.org/0000-0002-0527-0531"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Cui","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, CN","Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047871","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-7743-1779"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015995416","display_name":"Yangyu Fan","orcid":"https://orcid.org/0000-0003-0689-5418"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyu Fan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040328543","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-0669-9970"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046595612","display_name":"Tao Lei","orcid":"https://orcid.org/0000-0001-9639-6043"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"533","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9950000047683716,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7296938300132751},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7276946902275085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074749231338501},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6054997444152832},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.603644609451294},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5682368278503418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5674907565116882},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47387099266052246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46520835161209106},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.449362188577652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4457446336746216},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.43263518810272217},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4196098744869232},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.41249802708625793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37584516406059265},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.34736692905426025},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3466240167617798}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7296938300132751},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7276946902275085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074749231338501},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6054997444152832},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.603644609451294},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5682368278503418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5674907565116882},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47387099266052246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46520835161209106},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.449362188577652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4457446336746216},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.43263518810272217},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4196098744869232},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.41249802708625793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37584516406059265},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.34736692905426025},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3466240167617798}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2013.6625397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1501269001","https://openalex.org/W1973880112","https://openalex.org/W2006984912","https://openalex.org/W2058915639","https://openalex.org/W2108707886","https://openalex.org/W2115242586","https://openalex.org/W2117530999","https://openalex.org/W2132116135","https://openalex.org/W2133755666","https://openalex.org/W2161591846","https://openalex.org/W2162630772","https://openalex.org/W2170988612"],"related_works":["https://openalex.org/W2399084168","https://openalex.org/W2892323093","https://openalex.org/W2491448268","https://openalex.org/W2394193399","https://openalex.org/W2358058270","https://openalex.org/W2374506950","https://openalex.org/W2797947728","https://openalex.org/W3071522575","https://openalex.org/W2352415481","https://openalex.org/W2373741815"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,40],"new":[4],"fuzzy":[5,25,44,54,69],"clustering":[6,35,45,55,70],"algorithm":[7,59,93],"for":[8],"simultaneous":[9],"segmentation":[10],"and":[11,42,105],"bias":[12],"field":[13],"estimation":[14],"of":[15,82,89,113],"medical":[16,107],"images.":[17,66],"The":[18,52,67],"proposed":[19,92,115],"algorithm,":[20],"by":[21],"introducing":[22],"the":[23,31,58,80,87,91,98,110,114],"standard":[24],"C-means":[26],"(FCM)":[27],"objective":[28,47],"function":[29,48],"into":[30,97],"coherent":[32],"local":[33,43,53],"intensity":[34,63],"(CLIC)":[36],"criterion":[37],"function,":[38,78],"formulates":[39],"global":[41,68],"based":[46],"to":[49,60,85],"be":[50],"minimized.":[51],"term":[56],"allows":[57],"deal":[61],"with":[62,74],"inhomogeneity":[64],"in":[65],"term,":[71],"being":[72],"endowed":[73],"an":[75],"adaptive":[76],"weight":[77],"improves":[79],"accuracy":[81],"segmentation.":[83],"Besides,":[84],"reduce":[86],"impact":[88],"noise,":[90],"incorporates":[94],"spatial":[95],"information":[96],"membership":[99],"function.":[100],"Experiment":[101],"results":[102],"on":[103],"clinical":[104],"simulated":[106],"images":[108],"demonstrate":[109],"superior":[111],"performance":[112],"algorithm.":[116]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
