{"id":"https://openalex.org/W3094329596","doi":"https://doi.org/10.1109/atsip49331.2020.9231544","title":"Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach","display_name":"Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094329596","doi":"https://doi.org/10.1109/atsip49331.2020.9231544","mag":"3094329596"},"language":"en","primary_location":{"id":"doi:10.1109/atsip49331.2020.9231544","doi":"https://doi.org/10.1109/atsip49331.2020.9231544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231544","pdf_url":null,"source":{"id":"https://openalex.org/S4306423244","display_name":"International Conference on Advanced Technologies for Signal and Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03172718v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035793238","display_name":"Jinen Daghrir","orcid":"https://orcid.org/0000-0002-1300-8939","observed_orcids":["https://orcid.org/0000-0002-1300-8939"]},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4405254846","display_name":"ENSIT","ror":"https://ror.org/02a6s9190","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]},{"id":"https://openalex.org/I4405257713","display_name":"Institut Sup\u00e9rieur d'Informatique et des Technologies de Communication de Hammam Sousse","ror":"https://ror.org/05k9ds907","country_code":"TN","type":"education","lineage":["https://openalex.org/I4405257713","https://openalex.org/I8636806"]},{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jinen Daghrir","raw_affiliation_strings":["ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia","ISITCom, Universit\u00e9 de Sousse, Hammam Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]},{"raw_affiliation_string":"ISITCom, Universit\u00e9 de Sousse, Hammam Sousse, Tunisia","institution_ids":["https://openalex.org/I4405257713","https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038306273","display_name":"Lotfi Tlig","orcid":"https://orcid.org/0000-0001-7691-3605","observed_orcids":["https://orcid.org/0000-0001-7691-3605"]},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4405254846","display_name":"ENSIT","ror":"https://ror.org/02a6s9190","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lotfi Tlig","raw_affiliation_strings":["ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061200301","display_name":"Moez Bouchouicha","orcid":"https://orcid.org/0000-0002-8174-6343","observed_orcids":["https://orcid.org/0000-0002-8174-6343"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Moez Bouchouicha","raw_affiliation_strings":["Aix Marseille Univ, Universite de Toulon CNRS, LIS, Toulon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aix Marseille Univ, Universite de Toulon CNRS, LIS, Toulon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X","observed_orcids":["https://orcid.org/0000-0003-4270-421X"]},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4405254846","display_name":"ENSIT","ror":"https://ror.org/02a6s9190","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIT, Laboratory SIME, Universit\u00e9 de Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4405254846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":42.2796,"has_fulltext":false,"cited_by_count":218,"citation_normalized_percentile":{"value":0.9984985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9556000232696533,"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":0.9556000232696533,"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/T10862","display_name":"AI in cancer detection","score":0.042100001126527786,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/melanoma-detection","display_name":"melanoma detection","score":0.8980000019073486},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"skin cancer","score":0.8960000276565552},{"id":"https://openalex.org/keywords/skin-lesion-classification","display_name":"skin lesion classification","score":0.6980000138282776},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9110000133514404},{"id":"https://openalex.org/keywords/majority-voting","display_name":"majority voting","score":0.6809999942779541},{"id":"https://openalex.org/keywords/hybrid-classification","display_name":"hybrid classification","score":0.6259999871253967},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.8539999723434448},{"id":"https://openalex.org/keywords/color-features","display_name":"color features","score":0.8989999890327454}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7412879467010498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870774626731873},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6715912818908691},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.6620783805847168},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5338507890701294},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5258287191390991},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.5081980228424072},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.5016429424285889},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.48612165451049805},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4733462631702423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46279123425483704},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.4413299262523651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4335331320762634},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.15459448099136353},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1431790292263031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1132156252861023},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/atsip49331.2020.9231544","doi":"https://doi.org/10.1109/atsip49331.2020.9231544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231544","pdf_url":null,"source":{"id":"https://openalex.org/S4306423244","display_name":"International Conference on Advanced Technologies for Signal and Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03172718v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-03172718v1/document","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Advanced Technologies for Signal and Image Processing, Sep 2020, Sfax, Tunisia. &#x27E8;10.1109/ATSIP49331.2020.9231544&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03172718v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-03172718v1/document","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Advanced Technologies for Signal and Image Processing, Sep 2020, Sfax, Tunisia. &#x27E8;10.1109/ATSIP49331.2020.9231544&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8999999761581421,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1715797608","https://openalex.org/W2012875423","https://openalex.org/W2087662809","https://openalex.org/W2100111947","https://openalex.org/W2116040950","https://openalex.org/W2165316278","https://openalex.org/W2337330449","https://openalex.org/W2566174420","https://openalex.org/W2608868516","https://openalex.org/W2743221379","https://openalex.org/W2792411327","https://openalex.org/W2798277818","https://openalex.org/W2887497095","https://openalex.org/W2893490240","https://openalex.org/W2913312360","https://openalex.org/W2944319321","https://openalex.org/W3170246481","https://openalex.org/W4211223138","https://openalex.org/W6797144197"],"related_works":["https://openalex.org/W4403063299","https://openalex.org/W4386738884","https://openalex.org/W4320882205","https://openalex.org/W4407362677","https://openalex.org/W4304761908","https://openalex.org/W2577861134","https://openalex.org/W4387803294","https://openalex.org/W4205853511","https://openalex.org/W4327565213","https://openalex.org/W4407784232"],"abstract_inverted_index":{"Melanoma":[0],"is":[1],"considered":[2],"as":[3],"one":[4],"of":[5,14,22,49,66,97,115,124],"the":[6,10,23,38,47,95,118,122,146,151],"fatal":[7],"cancer":[8,16,79],"in":[9,25,33],"world,":[11],"this":[12,69],"form":[13],"skin":[15,78,126],"may":[17],"spread":[18],"to":[19,61,85,133],"other":[20],"parts":[21],"body":[24],"case":[26],"that":[27,53,81,144],"it":[28],"has":[29,41],"not":[30],"been":[31],"diagnosed":[32],"an":[34],"early":[35],"stage.":[36],"Thus,":[37],"medical":[39],"field":[40],"known":[42],"a":[43,63,73,113,125],"great":[44],"evolution":[45],"with":[46,112],"use":[48],"automated":[50],"diagnosis":[51],"systems":[52],"can":[54,82],"help":[55],"doctors":[56],"and":[57,105,121],"even":[58],"normal":[59],"people":[60],"determine":[62],"certain":[64],"kind":[65],"disease.":[67],"In":[68],"matter,":[70],"we":[71],"introduce":[72],"hybrid":[74],"method":[75],"for":[76],"melanoma":[77],"detection":[80],"be":[83],"used":[84],"examine":[86],"any":[87],"suspicious":[88],"lesion.":[89,127],"Our":[90],"proposed":[91],"system":[92],"rely":[93],"on":[94],"prediction":[96],"three":[98,147],"different":[99],"methods:":[100],"A":[101],"convolutional":[102],"neural":[103],"network":[104],"two":[106],"classical":[107],"machine":[108],"learning":[109],"classifiers":[110],"trained":[111],"set":[114],"features":[116],"describing":[117],"borders,":[119],"texture":[120],"color":[123],"These":[128],"methods":[129,148],"are":[130],"then":[131],"combined":[132],"improve":[134],"their":[135],"performances":[136],"using":[137,145],"majority":[138],"voting.":[139],"The":[140],"experiments":[141],"have":[142],"shown":[143],"together,":[149],"gives":[150],"highest":[152],"accuracy":[153],"level.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-29T00:00:00"}
