{"id":"https://openalex.org/W4405935030","doi":"https://doi.org/10.1109/icm63406.2024.10815914","title":"Enhanced Deep Learning Model for Superior Multi-Class Classification Performance","display_name":"Enhanced Deep Learning Model for Superior Multi-Class Classification Performance","publication_year":2024,"publication_date":"2024-12-14","ids":{"openalex":"https://openalex.org/W4405935030","doi":"https://doi.org/10.1109/icm63406.2024.10815914"},"language":"en","primary_location":{"id":"doi:10.1109/icm63406.2024.10815914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm63406.2024.10815914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Microelectronics (ICM)","raw_type":"proceedings-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/A5093658673","display_name":"Faezeh Mohammadi Aydoghmishi","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Faezeh Mohammadi Aydoghmishi","raw_affiliation_strings":["University of Windsor,Department of Electrical and Computer Engineering,Windsor,Ontario,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,Department of Electrical and Computer Engineering,Windsor,Ontario,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061387916","display_name":"Esam Abdel\u2010Raheem","orcid":"https://orcid.org/0000-0001-7596-2077"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Esam Abdel-Raheem","raw_affiliation_strings":["University of Windsor,Department of Electrical and Computer Engineering,Windsor,Ontario,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,Department of Electrical and Computer Engineering,Windsor,Ontario,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040978295","display_name":"Luis Rueda","orcid":"https://orcid.org/0000-0001-7988-2058"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Luis Rueda","raw_affiliation_strings":["School of Computer Science, University of Windsor,Windsor,Ontario,Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor,Windsor,Ontario,Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093658673"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22690927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3986000120639801,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3986000120639801,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.36739999055862427,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.6908609867095947},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5982718467712402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.593063235282898},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4563103914260864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4194068908691406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908609867095947},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5982718467712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593063235282898},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4563103914260864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4194068908691406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm63406.2024.10815914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm63406.2024.10815914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2490662969","https://openalex.org/W2794825826","https://openalex.org/W3038540011","https://openalex.org/W3109111683","https://openalex.org/W3128646645","https://openalex.org/W3145459305","https://openalex.org/W4293030607","https://openalex.org/W4297537493","https://openalex.org/W4304112072","https://openalex.org/W4308742981","https://openalex.org/W4320882205","https://openalex.org/W4367668576","https://openalex.org/W4384827994","https://openalex.org/W4388934159","https://openalex.org/W4390606103","https://openalex.org/W4394958520","https://openalex.org/W4399727051","https://openalex.org/W4400786925","https://openalex.org/W6637373629","https://openalex.org/W6800924492","https://openalex.org/W6807075711"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Skin":[0,59,140],"cancer":[1,8],"is":[2,16,26,47],"a":[3,57,126],"highly":[4],"prevalent":[5],"form":[6],"of":[7,13,72],"worldwide.":[9],"The":[10,106],"clinical":[11],"assessment":[12,25],"skin":[14,73,81],"lesions":[15,82],"crucial":[17],"for":[18],"evaluating":[19],"the":[20,30,70,113,138,146,150],"disease's":[21],"characteristics.":[22],"However,":[23],"this":[24],"often":[27],"hindered":[28],"by":[29],"variability":[31],"in":[32,38],"interpretations":[33],"and":[34,100,110,132,145],"lengthy":[35],"timelines,":[36],"resulting":[37],"delayed":[39],"diagnoses.":[40],"An":[41],"advanced":[42],"computer-aided":[43],"diagnosis":[44,71],"(CAD)":[45],"system":[46,62,107],"needed":[48],"to":[49,68],"improve":[50,69],"patient":[51],"survival":[52],"rates.":[53],"This":[54],"paper":[55],"presents":[56],"Multi-class":[58],"Cancer":[60],"Classification":[61],"using":[63],"an":[64],"enhanced":[65],"VGG-16":[66],"model":[67,152],"cancer.":[74],"Our":[75],"approach":[76],"focuses":[77],"on":[78,112,137],"classifying":[79],"multiple":[80],"types,":[83],"specifically":[84],"Melanocytic":[85],"Nevus":[86],"<tex":[87,93,97,103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88,94,98,104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(NV)$</tex>,":[89],"Basal":[90],"Cell":[91],"Carcinoma":[92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(BCC)$</tex>,":[95],"Melanoma":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(MEL)$</tex>,":[99],"Vascular":[101],"Lesions":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(VASC)$</tex>.":[105],"was":[108],"trained":[109],"evaluated":[111],"Human":[114],"Against":[115],"Machine":[116],"with":[117],"10,000":[118],"training":[119],"images":[120],"(HAM10000)":[121],"dataset.":[122],"We":[123],"have":[124],"conducted":[125],"comparative":[127],"study":[128],"between":[129],"our":[130],"method":[131],"several":[133],"previously":[134,154],"introduced":[135],"techniques":[136],"International":[139],"Image":[141],"Collaboration":[142],"(ISIC)":[143],"dataset,":[144],"results":[147],"show":[148],"that":[149],"proposed":[151,155],"outperforms":[153],"techniques.":[156]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
