{"id":"https://openalex.org/W3200732581","doi":"https://doi.org/10.4018/ijamc.2021100110","title":"Melanoma Detection by Meta-Heuristically-Optimized MLP Parameters Using Non-Dermatoscopy Images","display_name":"Melanoma Detection by Meta-Heuristically-Optimized MLP Parameters Using Non-Dermatoscopy Images","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3200732581","doi":"https://doi.org/10.4018/ijamc.2021100110","mag":"3200732581"},"language":"en","primary_location":{"id":"doi:10.4018/ijamc.2021100110","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2021100110","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","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/A5101590515","display_name":"Soumen Mukherjee","orcid":"https://orcid.org/0000-0002-8211-0507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soumen Mukherjee","raw_affiliation_strings":["RCC Institute of Infromation Technology, India"],"raw_orcid":"https://orcid.org/0000-0002-8211-0507","affiliations":[{"raw_affiliation_string":"RCC Institute of Infromation Technology, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055639467","display_name":"Arunabha Adhikari","orcid":"https://orcid.org/0000-0003-1110-4115"},"institutions":[{"id":"https://openalex.org/I55862774","display_name":"West Bengal State University","ror":"https://ror.org/04qs5en05","country_code":"IN","type":"education","lineage":["https://openalex.org/I55862774"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arunabha Adhikari","raw_affiliation_strings":["West Bengal State University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Bengal State University, India","institution_ids":["https://openalex.org/I55862774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115603372","display_name":"Madhusudan Roy","orcid":"https://orcid.org/0000-0003-0247-3453"},"institutions":[{"id":"https://openalex.org/I16019930","display_name":"Saha Institute of Nuclear Physics","ror":"https://ror.org/0491yz035","country_code":"IN","type":"facility","lineage":["https://openalex.org/I16019930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhusudan Roy","raw_affiliation_strings":["Saha Institute of Nuclear Physics, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saha Institute of Nuclear Physics, India","institution_ids":["https://openalex.org/I16019930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15006945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"177","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388255000114441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7238706350326538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961643099784851},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5738792419433594},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4929933249950409},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4832804501056671},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4534464478492737},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42906373739242554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21688592433929443}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388255000114441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7238706350326538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961643099784851},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5738792419433594},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4929933249950409},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4832804501056671},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4534464478492737},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42906373739242554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21688592433929443}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijamc.2021100110","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2021100110","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jamc00:v:12:y:2021:i:4:p:177-200","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMC.2021100110","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1859314164","https://openalex.org/W1982704641","https://openalex.org/W2006229201","https://openalex.org/W2018064898","https://openalex.org/W2024060531","https://openalex.org/W2043106860","https://openalex.org/W2044465660","https://openalex.org/W2051857685","https://openalex.org/W2070188654","https://openalex.org/W2117438495","https://openalex.org/W2127227873","https://openalex.org/W2144854846","https://openalex.org/W2147595228","https://openalex.org/W2188051592","https://openalex.org/W2581083232","https://openalex.org/W2616823333","https://openalex.org/W2617383746","https://openalex.org/W2753600281","https://openalex.org/W3005090711"],"related_works":["https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2025427163","https://openalex.org/W2289648981","https://openalex.org/W2392013129","https://openalex.org/W2113777112","https://openalex.org/W2884994975","https://openalex.org/W1565459987","https://openalex.org/W3019402777","https://openalex.org/W4386596916"],"abstract_inverted_index":{"This":[0],"paper":[1],"represents":[2],"a":[3],"scheme":[4],"of":[5,30,36,50,95,112,142,145,149],"melanoma":[6],"detection":[7],"using":[8,67],"handcrafted":[9],"feature":[10],"set":[11],"with":[12,87,93,106,110,160],"meta-heuristically":[13],"optimized":[14,114],"multilayer":[15],"perceptron":[16],"(MLP)":[17],"parameters.":[18],"Features":[19],"including":[20],"shape,":[21],"color,":[22],"and":[23,55,71,77,125,139,147],"texture":[24],"are":[25,41,62,101,151],"extracted":[26,60],"from":[27,34],"camera":[28],"images":[29],"skin":[31],"lesion":[32],"collected":[33],"University":[35],"Waterloo":[37],"database.":[38],"The":[39,59,130],"features":[40,61,92,100],"used":[42],"in":[43,158],"two":[44,107,116],"different":[45,117],"ways":[46],"for":[47],"binary":[48],"classification":[49],"the":[51,161],"data":[52],"into":[53,74],"benign":[54],"malignant":[56],"class.":[57],"1)":[58],"ranked":[63,78,90],"on":[64,164],"their":[65,81],"relevance":[66],"ReleifF":[68],"ranking":[69],"algorithm":[70],"also":[72],"converted":[73],"PCA":[75],"components":[76],"according":[79],"to":[80,103,135],"variance.":[82],"Best":[83],"result":[84],"is":[85,133,156],"obtained":[86],"50":[88],"best":[89],"raw":[91],"accuracy":[94,141],"87.1%.":[96],"2)":[97],"All":[98],"1,888":[99],"fed":[102],"an":[104,140],"MLP":[105],"hidden":[108],"layers,":[109],"number":[111],"neurons":[113],"by":[115,153],"metaheuristic":[118],"algorithms,":[119],"namely":[120],"particle":[121],"swarm":[122],"optimization":[123],"(PSO)":[124],"simulated":[126],"annealing":[127],"(SA)":[128],"separately.":[129],"latter":[131],"method":[132],"found":[134],"be":[136],"more":[137],"efficient,":[138],"88.38%,":[143],"sensitivity":[144],"92.22%,":[146],"specificity":[148],"83.07%":[150],"achieved":[152],"PSO,":[154],"which":[155],"better":[157],"comparison":[159],"latest":[162],"research":[163],"this":[165],"dataset.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
