{"id":"https://openalex.org/W2789519600","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302201","title":"Segmentation of brain MR images using an adaptively regularized kernel FCM algorithm with spatial constraints","display_name":"Segmentation of brain MR images using an adaptively regularized kernel FCM algorithm with spatial constraints","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2789519600","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302201","mag":"2789519600"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5027065839","display_name":"Ran Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ran Fang","raw_affiliation_strings":["College of Software Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043553456","display_name":"Yinan Lu","orcid":"https://orcid.org/0000-0001-5786-9178"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Lu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597226","display_name":"Xiaoni Liu","orcid":"https://orcid.org/0009-0003-7085-9320"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoni Liu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355531","display_name":"Zhuo Liu","orcid":"https://orcid.org/0000-0002-7591-7775"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Liu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027065839"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5151798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9954000115394592,"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":0.9947999715805054,"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":0.7414667010307312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7254703044891357},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6942002177238464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6420847177505493},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6351280808448792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141553521156311},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5782479047775269},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5562795400619507},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5458893179893494},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5201978087425232},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49213165044784546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4395483434200287},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43247997760772705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3693382143974304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3614616096019745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28455814719200134}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7414667010307312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7254703044891357},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6942002177238464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6420847177505493},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6351280808448792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141553521156311},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5782479047775269},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5562795400619507},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5458893179893494},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5201978087425232},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49213165044784546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4395483434200287},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43247997760772705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3693382143974304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3614616096019745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28455814719200134},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":15,"referenced_works":["https://openalex.org/W1501269001","https://openalex.org/W1973880112","https://openalex.org/W1989532447","https://openalex.org/W1990368529","https://openalex.org/W1992147426","https://openalex.org/W2051856481","https://openalex.org/W2070813603","https://openalex.org/W2090217565","https://openalex.org/W2108859253","https://openalex.org/W2113076747","https://openalex.org/W2115242586","https://openalex.org/W2118386984","https://openalex.org/W2164201421","https://openalex.org/W2165012164","https://openalex.org/W2197528307"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"FCM":[0,35],"algorithm":[1,5,81],"is":[2,37,48],"a":[3],"popular":[4],"for":[6],"medical":[7],"image":[8,28],"segmentation.":[9],"The":[10,42],"precise":[11],"process":[12],"of":[13,24,46,57,75,85],"segmenting":[14],"brain":[15,68],"tissue":[16],"images":[17,69],"becomes":[18],"more":[19],"challenging":[20],"in":[21,39],"the":[22,55,67,79,83,89],"presence":[23],"noise":[25],"and":[26,61,73],"other":[27,90],"artifacts.":[29],"An":[30],"improved":[31,80],"adaptively":[32],"regularized":[33],"kernel":[34],"method":[36],"proposed":[38],"this":[40],"paper.":[41],"spatial":[43],"constraint":[44],"function":[45],"membership":[47],"introduced":[49],"to":[50],"enhance":[51],"clustering":[52,62,92],"by":[53],"adjusting":[54],"degree":[56],"influence":[58],"between":[59],"pixels":[60],"centers.":[63],"Experimental":[64],"results":[65],"on":[66],"with":[70,88],"different":[71],"types":[72],"levels":[74],"noises":[76],"demonstrate":[77],"that":[78],"increases":[82],"accuracy":[84],"segmentation":[86],"compared":[87],"soft":[91],"algorithms.":[93]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
