{"id":"https://openalex.org/W4298005360","doi":"https://doi.org/10.1142/s0219467823500560","title":"Deep Learning-Based Melanoma Detection with Optimized Features <i>via</i> Hybrid Algorithm","display_name":"Deep Learning-Based Melanoma Detection with Optimized Features <i>via</i> Hybrid Algorithm","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4298005360","doi":"https://doi.org/10.1142/s0219467823500560"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467823500560","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500560","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5024602976","display_name":"S. T. Sukanya","orcid":null},"institutions":[{"id":"https://openalex.org/I96797292","display_name":"Noorul Islam University","ror":"https://ror.org/01y2gf490","country_code":"IN","type":"education","lineage":["https://openalex.org/I96797292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. T. Sukanya","raw_affiliation_strings":["Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamil Nadu, India","institution_ids":["https://openalex.org/I96797292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035199989","display_name":"S. Jerine","orcid":"https://orcid.org/0000-0002-4696-7204"},"institutions":[{"id":"https://openalex.org/I96797292","display_name":"Noorul Islam University","ror":"https://ror.org/01y2gf490","country_code":"IN","type":"education","lineage":["https://openalex.org/I96797292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Jerine","raw_affiliation_strings":["Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil, Tamil Nadu, India","institution_ids":["https://openalex.org/I96797292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024602976"],"corresponding_institution_ids":["https://openalex.org/I96797292"],"apc_list":null,"apc_paid":null,"fwci":0.2861,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55929438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"23","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9749000072479248,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6180850267410278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001629829406738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5683407187461853},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5317954421043396},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5307424068450928},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5132846832275391},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5126920938491821},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.43773597478866577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.374528169631958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28990504145622253},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2436399757862091}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6180850267410278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001629829406738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5683407187461853},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5317954421043396},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5307424068450928},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5132846832275391},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5126920938491821},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.43773597478866577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.374528169631958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28990504145622253},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2436399757862091}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467823500560","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500560","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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":31,"referenced_works":["https://openalex.org/W1964651964","https://openalex.org/W1978623084","https://openalex.org/W1981292083","https://openalex.org/W2026720263","https://openalex.org/W2040659822","https://openalex.org/W2053164108","https://openalex.org/W2061438946","https://openalex.org/W2095003442","https://openalex.org/W2131264832","https://openalex.org/W2162515926","https://openalex.org/W2192895239","https://openalex.org/W2328398504","https://openalex.org/W2346254524","https://openalex.org/W2404812871","https://openalex.org/W2579362932","https://openalex.org/W2765976153","https://openalex.org/W2789002275","https://openalex.org/W2804383999","https://openalex.org/W2807537675","https://openalex.org/W2883375012","https://openalex.org/W2888442043","https://openalex.org/W2907688358","https://openalex.org/W2910567234","https://openalex.org/W2932315469","https://openalex.org/W2940790545","https://openalex.org/W2953747367","https://openalex.org/W2955079094","https://openalex.org/W2964240917","https://openalex.org/W4237524204","https://openalex.org/W4250863246","https://openalex.org/W4383864999"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2153027217","https://openalex.org/W2855870609","https://openalex.org/W1987527207","https://openalex.org/W3144203963","https://openalex.org/W2293488289"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"had":[2],"been":[3],"a":[4,18,63,168,170,220],"massive":[5],"group":[6],"of":[7,20,49,108,149,151,185],"people,":[8],"who":[9],"were":[10],"being":[11],"rapidly":[12],"affected":[13],"by":[14],"melanoma.":[15],"Melanoma":[16],"is":[17,31,179,217,224],"form":[19],"skin":[21,37,92],"cancer":[22],"that":[23,181],"develops":[24],"on":[25],"the":[26,46,84,90,101,109,139,147,163,183,197,200,227,233],"skin\u2019s":[27],"surface":[28],"layer.":[29],"This":[30,58],"primarily":[32],"caused":[33],"due":[34],"to":[35,39,54,61,89,157,238],"excessive":[36],"exposure":[38],"UV":[40],"radiation":[41],"and":[42,131,190],"severe":[43],"sunburns.":[44],"Thus,":[45],"early":[47],"detection":[48,66,164],"melanoma":[50,65],"can":[51],"aid":[52],"us":[53],"cure":[55],"it":[56],"completely.":[57],"paper":[59,154],"intends":[60],"introduce":[62],"new":[64,171],"framework":[67],"with":[68,236],"four":[69],"main":[70],"phases":[71],"viz.":[72],"segmentation,":[73],"feature":[74,77],"extraction,":[75],"optimal":[76,159],"selection,":[78],"as":[79,81,112,209,230,232],"well":[80,231],"detection.":[82],"Initially,":[83],"segmentation":[85],"process":[86],"takes":[87],"place":[88],"input":[91],"image":[93,103],"via":[94],"Fuzzy":[95],"C-Means":[96],"Clustering":[97],"(FCM)":[98],"approach.":[99],"From":[100],"segmented":[102],"[Formula:":[104,142,204],"see":[105,143,205],"text],":[106],"some":[107],"features":[110,141,203],"such":[111],"Gray":[113],"Level":[114],"Run":[115],"Length":[116],"Matrix":[117],"(GLRM),":[118],"Local":[119,123,127,132],"Vector":[120],"Pattern":[121,125,129,134],"(LVP),":[122],"Binary":[124],"(LBP),":[126],"Directional":[128],"(LDP)":[130],"Tetra":[133],"(LTrP)":[135],"are":[136,207],"extracted.":[137],"As":[138,167],"extracted":[140],"text]":[144,206],"suffered":[145],"from":[146],"issue":[148],"\u201ccurse":[150],"dimensionality\u201d,":[152],"this":[153],"utilizes":[155],"optimization":[156],"select":[158],"features,":[160],"which":[161],"makes":[162],"more":[165],"precise.":[166],"novelty,":[169],"hybrid":[172],"algorithm":[173],"Particle-Assisted":[174],"Moth":[175,186],"Search":[176,187],"Algorithm":[177,188],"(PA-MSA)":[178],"introduced":[180],"hybridizes":[182],"concept":[184],"(MSA)":[189],"Particle":[191],"Swarm":[192],"Optimization":[193],"(PSO),":[194],"respectively.":[195],"For":[196],"classification":[198],"process,":[199],"optimally":[201],"chosen":[202],"fed":[208],"input,":[210],"where":[211],"Deep":[212],"Convolution":[213],"Neural":[214],"Network":[215],"(DCNN)":[216],"used.":[218],"Finally,":[219],"performance-based":[221],"comparative":[222],"analysis":[223],"conducted":[225],"among":[226],"proposed":[228],"PA-MSA":[229],"existing":[234],"models":[235],"respect":[237],"various":[239],"measures.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}