{"id":"https://openalex.org/W4392607876","doi":"https://doi.org/10.1109/tfuzz.2024.3373509","title":"Segmentation of 3D Anatomically Diffused Tissues in Magnetic Resonance Images Through Edge-Preserving Constrained Center-Free Fuzzy $C$-Means","display_name":"Segmentation of 3D Anatomically Diffused Tissues in Magnetic Resonance Images Through Edge-Preserving Constrained Center-Free Fuzzy $C$-Means","publication_year":2024,"publication_date":"2024-03-08","ids":{"openalex":"https://openalex.org/W4392607876","doi":"https://doi.org/10.1109/tfuzz.2024.3373509"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3373509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3373509","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5082075542","display_name":"Qing Guo","orcid":"https://orcid.org/0000-0001-7694-9157"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Guo","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7694-9157","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769854","display_name":"Hong Song","orcid":"https://orcid.org/0000-0002-3171-2604"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Song","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3171-2604","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019777065","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0001-8182-0243"},"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":"Cong Wang","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China","Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, P.R. China"],"raw_orcid":"https://orcid.org/0000-0001-8182-0243","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085936638","display_name":"Jingfan Fan","orcid":"https://orcid.org/0000-0003-4857-6490"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfan Fan","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4857-6490","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012390446","display_name":"Danni Ai","orcid":"https://orcid.org/0000-0002-2285-0570"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danni Ai","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2285-0570","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025557736","display_name":"Yuanjin Gao","orcid":"https://orcid.org/0000-0002-1050-5753"},"institutions":[{"id":"https://openalex.org/I4210144404","display_name":"Beijing Children\u2019s Hospital","ror":"https://ror.org/04skmn292","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210144404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjin Gao","raw_affiliation_strings":["Department of Ultrasound, Beijing Children's Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1050-5753","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Beijing Children's Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210144404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078085986","display_name":"Xiaoling Yu","orcid":"https://orcid.org/0000-0003-1349-2334"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Yu","raw_affiliation_strings":["Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1349-2334","affiliations":[{"raw_affiliation_string":"Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643476","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-1250-6319"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1250-6319","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70838745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":"6","first_page":"3444","last_page":"3457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9941999912261963,"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/segmentation","display_name":"Segmentation","score":0.6251475811004639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193183660507202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5560184717178345},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5292474627494812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5116563439369202},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5072109699249268},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46114829182624817},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46006619930267334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45217329263687134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40997448563575745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3279576897621155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24532613158226013}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6251475811004639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193183660507202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560184717178345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5292474627494812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5116563439369202},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5072109699249268},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46114829182624817},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46006619930267334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45217329263687134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40997448563575745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3279576897621155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24532613158226013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3373509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3373509","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4463377103","display_name":null,"funder_award_id":"82172027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4742011769","display_name":null,"funder_award_id":"62171039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5639313549","display_name":null,"funder_award_id":"2021A1515110019","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7036979079","display_name":null,"funder_award_id":"U22A2052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7301184869","display_name":null,"funder_award_id":"62271057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7748902602","display_name":null,"funder_award_id":"62206220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1529155083","https://openalex.org/W1909740415","https://openalex.org/W1983248130","https://openalex.org/W1992147426","https://openalex.org/W1995450389","https://openalex.org/W2070813603","https://openalex.org/W2115242586","https://openalex.org/W2125188192","https://openalex.org/W2134495751","https://openalex.org/W2165012164","https://openalex.org/W2295336075","https://openalex.org/W2332001143","https://openalex.org/W2785177491","https://openalex.org/W2803524673","https://openalex.org/W2891508201","https://openalex.org/W2901602964","https://openalex.org/W2903274701","https://openalex.org/W2983775825","https://openalex.org/W3006603117","https://openalex.org/W3008846954","https://openalex.org/W3016984854","https://openalex.org/W3084624868","https://openalex.org/W3104232778","https://openalex.org/W3109457920","https://openalex.org/W3112951980","https://openalex.org/W3125444135","https://openalex.org/W3135586771","https://openalex.org/W3183935632","https://openalex.org/W3199883375","https://openalex.org/W4213019810","https://openalex.org/W4220730772","https://openalex.org/W4225771944","https://openalex.org/W4310599588","https://openalex.org/W4311771053","https://openalex.org/W4316660655","https://openalex.org/W4323306087","https://openalex.org/W4362500795","https://openalex.org/W4378188635"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1522196789","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"Anatomically":[0],"diffused":[1],"tissues":[2,7],"(ADTs)":[3],"refer":[4],"to":[5,77,98,139,175],"soft":[6],"containing":[8],"many":[9],"anatomical":[10],"regions":[11],"that":[12,202,226],"are":[13,96,210],"spatially":[14],"dispersed":[15],"and":[16,27,83,217],"structurally":[17],"irregular.":[18],"In":[19],"magnetic":[20,120],"resonance":[21,121],"images,":[22],"ADTs":[23,118,204],"exhibit":[24],"blurred":[25],"morphology":[26],"heterogeneous":[28],"texture,":[29],"making":[30],"the":[31,59,72,78,88,93,125,128,145,152,171,177,185,188,193,206,227,237],"accurate":[32],"extraction":[33],"of":[34,80,92,127,181,187,196,203],"their":[35,84],"3D":[36,117],"anatomy":[37],"challenging.":[38],"Center-free":[39],"fuzzy":[40],"C-means":[41],"(FCM)":[42],"can":[43],"effectively":[44],"partition":[45],"nonlinear":[46],"or":[47],"nonspherical":[48],"clusters,":[49],"providing":[50],"a":[51,68,131],"promising":[52],"scheme":[53],"for":[54,115,233],"ADT":[55,101,234],"segmentation.":[56],"It":[57],"solves":[58],"uncertainty":[60],"arising":[61],"from":[62],"unreliable":[63],"center":[64],"estimation":[65],"by":[66],"introducing":[67],"similarity":[69,73,129,134,146,173],"criterion.":[70],"However,":[71],"criterion":[74,174],"is":[75,136,167,198,230],"sensitive":[76],"number":[79],"target":[81,162],"objects":[82],"adjacent":[85],"members":[86,150],"in":[87,119,151,205],"images.":[89,122],"Moreover,":[90],"memberships":[91],"existing":[94],"algorithms":[95],"susceptible":[97],"losing":[99],"real":[100],"details.":[102],"To":[103,123],"handle":[104],"these":[105],"issues,":[106],"we":[107],"propose":[108],"an":[109],"edge-preserving":[110,165,191],"constrained":[111],"center-free":[112,182],"FCM":[113],"algorithm":[114,229],"segmenting":[116],"overcome":[124],"sensitivity":[126],"criterion,":[130],"novel":[132,178],"object-to-cluster":[133],"measure":[135,147],"first":[137],"proposed":[138,228],"utilize":[140],"refined":[141],"member-toobject":[142],"adjacency.":[143],"Specifically,":[144],"focuses":[148],"on":[149,212],"feature":[153],"space,":[154],"which":[155],"share":[156],"approximately":[157],"homogeneous":[158],"characteristics":[159],"with":[160,170],"each":[161],"object.":[163],"Gradient-domain":[164],"filtering":[166],"then":[168],"combined":[169],"improved":[172],"construct":[176],"objective":[179],"function":[180],"FCM.":[183],"With":[184],"assistance":[186],"designed":[189],"imagedriven":[190],"regularization,":[192],"gradient":[194],"information":[195],"clusters":[197],"constrained,":[199],"eventually":[200],"approaching":[201],"guidance":[207],"image.":[208],"Experiments":[209],"conducted":[211],"two":[213],"public":[214],"brain":[215],"datasets":[216],"one":[218],"local":[219],"intrahepatic":[220],"vein":[221],"dataset.":[222],"The":[223],"results":[224],"demonstrate":[225],"more":[231],"effective":[232],"segmentation":[235],"than":[236],"state-of-the-art":[238],"peers,":[239],"exhibiting":[240],"superior":[241],"generalization":[242],"capability.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}