{"id":"https://openalex.org/W4399211666","doi":"https://doi.org/10.3233/idt-240336","title":"Optimized clustering-based fusion for skin lesion image classification: Leveraging marine predators algorithm","display_name":"Optimized clustering-based fusion for skin lesion image classification: Leveraging marine predators algorithm","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399211666","doi":"https://doi.org/10.3233/idt-240336"},"language":"en","primary_location":{"id":"doi:10.3233/idt-240336","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240336","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","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/A5071768285","display_name":"Niharika Mohanty","orcid":null},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niharika Mohanty","raw_affiliation_strings":["Department of Information and Communication Technology, Fakir Mohan University, Balasore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Fakir Mohan University, Balasore, India","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074645564","display_name":"Manaswini Pradhan","orcid":"https://orcid.org/0000-0002-4729-8233"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manaswini Pradhan","raw_affiliation_strings":["Department of Information and Communication Technology, Fakir Mohan University, Balasore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Fakir Mohan University, Balasore, India","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026443412","display_name":"Pranoti Prashant Mane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pranoti Prashant Mane","raw_affiliation_strings":["MES\u2019s Wadia College of Engineering, Pune","MES's Wadia College of Engineering, Pune"],"affiliations":[{"raw_affiliation_string":"MES\u2019s Wadia College of Engineering, Pune","institution_ids":[]},{"raw_affiliation_string":"MES's Wadia College of Engineering, Pune","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029805698","display_name":"Pradeep Kumar Mallick","orcid":"https://orcid.org/0000-0002-1207-0757"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pradeep Kumar Mallick","raw_affiliation_strings":["School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIIT), Deemed to be University, Bhubaneswar, Odisha, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIIT), Deemed to be University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068286815","display_name":"Bilal A. Ozturk","orcid":null},"institutions":[{"id":"https://openalex.org/I179948855","display_name":"Istanbul Ayd\u0131n University","ror":"https://ror.org/00qsyw664","country_code":"TR","type":"education","lineage":["https://openalex.org/I179948855"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bilal A. Ozturk","raw_affiliation_strings":["Faculty of Engineering, Software Engineering Department, Istanbul Aydin University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Software Engineering Department, Istanbul Aydin University, Istanbul, Turkey","institution_ids":["https://openalex.org/I179948855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003402300","display_name":"Anas Atef Shamaileh","orcid":"https://orcid.org/0000-0001-8093-8143"},"institutions":[{"id":"https://openalex.org/I146367977","display_name":"Applied Science Private University","ror":"https://ror.org/01ah6nb52","country_code":"JO","type":"education","lineage":["https://openalex.org/I146367977"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Anas Atef Shamaileh","raw_affiliation_strings":["Applied Science Private University, Jordan"],"affiliations":[{"raw_affiliation_string":"Applied Science Private University, Jordan","institution_ids":["https://openalex.org/I146367977"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029805698"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05548778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"3","first_page":"2511","last_page":"2536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9117000102996826,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9007999897003174,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6527547240257263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5634176135063171},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.556342363357544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5475131869316101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5158283114433289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510412871837616},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4485258162021637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39640355110168457}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6527547240257263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634176135063171},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.556342363357544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5475131869316101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5158283114433289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510412871837616},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4485258162021637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39640355110168457},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-240336","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-240336","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2899425762","https://openalex.org/W2981030558","https://openalex.org/W2991840431","https://openalex.org/W3011104345","https://openalex.org/W3012614932","https://openalex.org/W3018821700","https://openalex.org/W3044795413","https://openalex.org/W3048311949","https://openalex.org/W3100618754","https://openalex.org/W3108516240","https://openalex.org/W3114688163","https://openalex.org/W3156034637","https://openalex.org/W3159690776","https://openalex.org/W3191435006","https://openalex.org/W3207401025","https://openalex.org/W3216441523","https://openalex.org/W4210389245","https://openalex.org/W4210469725","https://openalex.org/W4221018792","https://openalex.org/W4224280865","https://openalex.org/W4225001912","https://openalex.org/W4229335297","https://openalex.org/W4280632907","https://openalex.org/W4282005486","https://openalex.org/W4296311529","https://openalex.org/W4297991145","https://openalex.org/W4308529562","https://openalex.org/W4309710748","https://openalex.org/W4311156517","https://openalex.org/W4312305385","https://openalex.org/W4315628817","https://openalex.org/W4318263565","https://openalex.org/W4318677174","https://openalex.org/W4318825001","https://openalex.org/W4322724513","https://openalex.org/W4362603432","https://openalex.org/W4366386416","https://openalex.org/W4367303100","https://openalex.org/W4380991735","https://openalex.org/W4384827994","https://openalex.org/W6810169920","https://openalex.org/W6843682147","https://openalex.org/W6854296643"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"This":[0],"manuscript":[1],"presents":[2],"a":[3,143,179],"comprehensive":[4],"approach":[5,35,109,181],"to":[6,36],"enhance":[7],"the":[8,17,72,107,122,130,146,156,169,187,195,211],"accuracy":[9,100,124],"of":[10,96,132,158,197],"skin":[11,60,183,204],"lesion":[12,61,184,205],"image":[13],"classification":[14,162,185,206],"based":[15,167],"on":[16,23,86,168],"HAM10000":[18],"and":[19,55,71,89,99,112,121,142,172,207],"BCN20000":[20],"datasets.":[21],"Building":[22],"prior":[24],"feature":[25,49,69,79,149,189,201,215],"fusion":[26,34,50,70,115,150,190,202,216],"models,":[27],"this":[28,218],"research":[29],"introduces":[30],"an":[31],"optimized":[32,66,198],"cluster-based":[33,199],"address":[37],"limitations":[38],"observed":[39],"in":[40,94,160,203,217],"our":[41],"previous":[42],"methods.":[43,191],"The":[44,102,164],"study":[45],"proposes":[46],"two":[47],"novel":[48],"strategies,":[51],"KFS-MPA":[52,111],"(using":[53,57],"K-means)":[54],"DFS-MPA":[56,108,159,177,209],"DBSCAN),":[58],"for":[59,182,214],"classification.":[62],"These":[63,192],"approaches":[64],"leverage":[65],"clustering-based":[67],"deep":[68,200],"marine":[73],"predator":[74],"algorithm":[75],"(MPA).":[76],"Ten":[77],"fused":[78],"sets":[80],"are":[81,153],"evaluated":[82,188],"using":[83],"three":[84],"classifiers":[85],"both":[87],"datasets,":[88],"their":[90],"performance":[91],"is":[92],"compared":[93,114],"terms":[95],"dimensionality":[97,119],"reduction":[98,120],"improvement.":[101],"results":[103],"consistently":[104],"demonstrate":[105],"that":[106],"outperforms":[110],"other":[113],"methods,":[116],"achieving":[117],"notable":[118],"highest":[123],"levels.":[125],"ROC-AUC":[126],"curves":[127],"further":[128],"support":[129],"superiority":[131],"DFS-MPA,":[133],"highlighting":[134],"its":[135],"exceptional":[136],"discriminative":[137],"capabilities.":[138],"Five-fold":[139],"cross-validation":[140],"tests":[141],"comparison":[144],"with":[145],"previously":[147],"proposed":[148],"method":[151],"(FOWFS-AJS)":[152],"performed,":[154],"confirming":[155],"effectiveness":[157],"enhancing":[161],"performance.":[163],"statistical":[165],"validation":[166],"Friedman":[170],"test":[171,174],"Bonferroni-Dunn":[173],"also":[175],"supports":[176],"as":[178,210],"promising":[180],"among":[186],"findings":[193],"emphasize":[194],"significance":[196],"establish":[208],"preferred":[212],"choice":[213],"study.":[219]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}