{"id":"https://openalex.org/W4400447759","doi":"https://doi.org/10.1109/tsmc.2024.3416268","title":"Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application","display_name":"Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4400447759","doi":"https://doi.org/10.1109/tsmc.2024.3416268"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3416268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3416268","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5084827792","display_name":"Shouvik Chakraborty","orcid":"https://orcid.org/0000-0002-3427-7492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shouvik Chakraborty","raw_affiliation_strings":["Department of Computer Science and Technology, Women’s Polytechnic, Chandernagore, Chandernagore, India"],"raw_orcid":"https://orcid.org/0000-0002-3427-7492","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Women’s Polytechnic, Chandernagore, Chandernagore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014680453","display_name":"Kalyani Mali","orcid":"https://orcid.org/0000-0002-0647-6128"},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kalyani Mali","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Kalyani, Kalyani, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Kalyani, Kalyani, India","institution_ids":["https://openalex.org/I77501641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028039397","display_name":"Sushmita Mitra","orcid":"https://orcid.org/0000-0001-9285-1117"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushmita Mitra","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute (Kolkata), Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0001-9285-1117","affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute (Kolkata), Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71610336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"54","issue":"10","first_page":"6023","last_page":"6032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46689140796661377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43374183773994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4033644199371338}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46689140796661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43374183773994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4033644199371338}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2024.3416268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3416268","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W257726663","https://openalex.org/W2039664503","https://openalex.org/W2051243106","https://openalex.org/W2060114273","https://openalex.org/W2062243222","https://openalex.org/W2065347048","https://openalex.org/W2117766076","https://openalex.org/W2122017330","https://openalex.org/W2127027842","https://openalex.org/W2143162151","https://openalex.org/W2153464267","https://openalex.org/W2165232124","https://openalex.org/W2963734847","https://openalex.org/W2979448322","https://openalex.org/W2987039128","https://openalex.org/W2999898124","https://openalex.org/W3098718496","https://openalex.org/W3104298728","https://openalex.org/W3127393872","https://openalex.org/W3156643720","https://openalex.org/W3183935632","https://openalex.org/W3194998740","https://openalex.org/W4206693420","https://openalex.org/W4220998073","https://openalex.org/W4221161877","https://openalex.org/W4223970422","https://openalex.org/W4250589301","https://openalex.org/W4282935002","https://openalex.org/W4283821680","https://openalex.org/W4311461418","https://openalex.org/W6674319900","https://openalex.org/W6679849079","https://openalex.org/W6800587006"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Given":[0],"the":[1,39,46,51,81,94,110,117,120,124,132,145,151,161,173,180,183],"scarcity":[2],"of":[3,10,29,41,53,172,192],"sufficient":[4],"annotated":[5],"data,":[6],"using":[7,131],"small":[8],"sets":[9],"labeled":[11,97,184],"samples":[12],"under":[13],"semi-supervision":[14],"in":[15,176,190],"biomedical":[16],"imaging":[17],"becomes":[18],"necessary.":[19],"Despite":[20],"being":[21],"highly":[22],"successful,":[23],"deep":[24],"learning":[25,83],"algorithms":[26,165],"demand":[27],"plenty":[28],"data":[30,36,91,98],"to":[31,115],"obtain":[32],"significant":[33],"performance.":[34],"Complex":[35],"models":[37],"make":[38],"usage":[40],"these":[42],"methods":[43],"costly.":[44],"Selecting":[45],"correct":[47],"model":[48,55],"and":[49,78,112,150,166,178,185,196,199,204],"tuning":[50],"hyperparameters":[52],"a":[54,61,101],"are":[56,158],"also":[57],"difficult":[58],"jobs.":[59],"Hence,":[60],"novel":[62,102],"approach":[63,175],"namely":[64],"affinity":[65,73,103],"propagation-based":[66],"semi-supervised":[67,164],"segmentation":[68,154],"(APSS)":[69],"is":[70,76,106,129,188],"proposed.":[71],"Here,":[72],"propagation":[74],"clustering":[75],"modified":[77],"integrated":[79],"with":[80,160],"advanced":[82],"techniques":[84],"that":[85],"can":[86],"efficiently":[87],"use":[88],"limited":[89],"training":[90],"by":[92],"discarding":[93],"completely":[95],"exploited":[96],"points.":[99],"Moreover,":[100],"calculation":[104],"method":[105],"proposed":[107],"considering":[108],"both":[109],"Euclidean":[111],"geodesic":[113],"distances":[114],"compute":[116],"distance":[118],"between":[119,182],"two":[121],"points":[122],"on":[123],"histogram.":[125],"This":[126],"twofold":[127],"contribution":[128],"tested":[130],"three":[133,162],"standard":[134,163],"datasets":[135,187],"(the":[136],"International":[137],"Skin":[138],"Imaging":[139],"Collaboration":[140],"(ISIC)":[141],"dermoscopic":[142],"image":[143,148],"dataset,":[144,149],"retinal":[146],"fundus":[147],"liver":[152],"tumor":[153],"(LiTS)":[155],"dataset).":[156],"Results":[157],"compared":[159],"four":[167],"supervised":[168],"algorithms.":[169],"The":[170],"effectiveness":[171],"APSS":[174],"finding":[177],"exploiting":[179],"relationship":[181],"unlabeled":[186],"demonstrated":[189],"terms":[191],"qualitative":[193],"(subjective":[194],"evaluation":[195,203],"visual":[197],"inspection)":[198],"quantitative":[200],"performance":[201],"(objective":[202],"numerical":[205],"measurements).":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}