{"id":"https://openalex.org/W4408703605","doi":"https://doi.org/10.1109/ipas63548.2025.10924546","title":"Novel Hybrid Deep Learning Model for Enhancing Skin Cancer Detection","display_name":"Novel Hybrid Deep Learning Model for Enhancing Skin Cancer Detection","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4408703605","doi":"https://doi.org/10.1109/ipas63548.2025.10924546"},"language":"en","primary_location":{"id":"doi:10.1109/ipas63548.2025.10924546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","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/A5067939167","display_name":"Jamel Smida","orcid":"https://orcid.org/0000-0002-4650-4920"},"institutions":[{"id":"https://openalex.org/I134359838","display_name":"Alfaisal University","ror":"https://ror.org/00cdrtq48","country_code":"SA","type":"education","lineage":["https://openalex.org/I134359838"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Jamel Smida","raw_affiliation_strings":["AlMaarefa University,College of Applied Science,Riyadh,Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"AlMaarefa University,College of Applied Science,Riyadh,Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I134359838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108109501","display_name":"Mohamed Karim Azizi","orcid":"https://orcid.org/0000-0003-0310-0026"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Karim Azizi","raw_affiliation_strings":["University Tunis El Manar,Microwave Electronics Research Laboratory Faculty of Sciences of Tunis,Tunis,Tunisia"],"affiliations":[{"raw_affiliation_string":"University Tunis El Manar,Microwave Electronics Research Laboratory Faculty of Sciences of Tunis,Tunis,Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072399227","display_name":"Anandh Sam Chandra Bose","orcid":"https://orcid.org/0000-0002-3020-0594"},"institutions":[{"id":"https://openalex.org/I134359838","display_name":"Alfaisal University","ror":"https://ror.org/00cdrtq48","country_code":"SA","type":"education","lineage":["https://openalex.org/I134359838"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Anandh Sam Chandra Bose","raw_affiliation_strings":["AlMaarefa University,College of Applied Science,Riyadh,Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"AlMaarefa University,College of Applied Science,Riyadh,Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I134359838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102822571","display_name":"Amor Smida","orcid":"https://orcid.org/0000-0001-9096-4337"},"institutions":[{"id":"https://openalex.org/I195631090","display_name":"Majmaah University","ror":"https://ror.org/01mcrnj60","country_code":"SA","type":"education","lineage":["https://openalex.org/I195631090"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Amor Smida","raw_affiliation_strings":["College of Applied Medical Sciences,Department of Medical Equipment Technology,Al-Majmaah,Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Applied Medical Sciences,Department of Medical Equipment Technology,Al-Majmaah,Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I195631090"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067939167"],"corresponding_institution_ids":["https://openalex.org/I134359838"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09481351,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9144999980926514,"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":0.9144999980926514,"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/computer-science","display_name":"Computer science","score":0.6431198120117188},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6355797052383423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.469178706407547},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.4597949683666229},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.41950559616088867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3311256766319275},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12677672505378723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431198120117188},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6355797052383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.469178706407547},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.4597949683666229},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.41950559616088867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3311256766319275},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12677672505378723},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas63548.2025.10924546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2302255633","https://openalex.org/W2531409750","https://openalex.org/W2752782242","https://openalex.org/W2883431180","https://openalex.org/W3009388464","https://openalex.org/W3111341023","https://openalex.org/W3129119512","https://openalex.org/W3167960955","https://openalex.org/W3204801262","https://openalex.org/W4320882205","https://openalex.org/W4323036200","https://openalex.org/W4379382677","https://openalex.org/W4384159585","https://openalex.org/W4386894200","https://openalex.org/W4387957944","https://openalex.org/W4394607218","https://openalex.org/W4399275092","https://openalex.org/W4402144833","https://openalex.org/W6637373629","https://openalex.org/W6737664043","https://openalex.org/W6749061506"],"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/W3082895349"],"abstract_inverted_index":{"Skin":[0],"Cancer":[1],"is":[2,150,181,228],"the":[3,15,28,33,37,52,93,120,126,160,198,225],"most":[4],"serious":[5],"form":[6],"of":[7,14,23,35,45,51,113,141,213],"cancer,":[8],"often":[9],"spreading":[10],"to":[11,77],"other":[12,63],"parts":[13],"body":[16],"over":[17],"time.":[18],"Early":[19],"and":[20,31,62,128,132,154,173,191,210,217,230],"accurate":[21],"identification":[22],"skin":[24,46,103,238],"lesions":[25],"can":[26,231],"improve":[27],"treatment":[29],"options":[30],"increase":[32],"probability":[34],"curing":[36],"disease":[38],"before":[39],"it":[40],"progresses.":[41],"However,":[42],"automatic":[43],"detection":[44,105],"cancer":[47,104,239],"faces":[48],"difficulties":[49],"because":[50],"imbalanced":[53],"datasets,":[54],"affected":[55],"areas":[56],"covered":[57],"by":[58],"hair":[59,171],"or":[60],"moles,":[61],"visual":[64],"obstructions.":[65],"In":[66],"recent":[67],"years,":[68],"Deep":[69],"Learning":[70],"(DL)":[71],"techniques":[72],"have":[73],"been":[74],"widely":[75],"used":[76],"address":[78],"these":[79,91,202],"challenges.":[80],"Despite":[81],"advancements,":[82],"achieving":[83,204],"consistently":[84],"high":[85],"accuracy":[86],"remains":[87],"difficult.":[88],"To":[89],"tackle":[90],"challenges,":[92],"research":[94],"proposes":[95],"a":[96,136,205],"novel":[97],"hybrid":[98],"DL":[99,142,185],"model":[100],"for":[101,234],"efficient":[102],"from":[106,159],"dermoscopic":[107,156],"images.":[108],"The":[109,147,178,193,220],"proposed":[110,148,179,199,226],"network":[111,130,149,180,200,227],"consists":[112],"three":[114],"key":[115],"modules:":[116],"feature":[117,123],"extraction":[118],"using":[119,135,152],"Xception":[121],"network,":[122],"enhancement":[124],"through":[125],"Squeeze":[127],"Excitation":[129],"(SENet),":[131],"final":[133],"classification":[134],"transformer":[137],"module.":[138],"This":[139],"combination":[140],"models":[143],"effectively":[144],"identifies":[145],"SC.":[146],"evaluated":[151],"benign":[153],"malignant":[155],"images":[157],"collected":[158],"Kaggle":[161],"website.":[162],"Necessary":[163],"preprocessing":[164],"steps,":[165],"such":[166,187],"as":[167,188],"resizing,":[168],"grayscale":[169],"conversion,":[170],"removal,":[172],"data":[174],"balancing,":[175],"are":[176],"applied.":[177],"compared":[182],"with":[183,240],"popular":[184],"networks":[186],"MobileNet,":[189],"Xception,":[190],"VGG-16.":[192],"experimental":[194],"outcome":[195],"demonstrates":[196],"that":[197,224],"outperforms":[201],"models,":[203],"higher":[206],"accuracy,":[207],"recall,":[208],"precision,":[209],"F1":[211],"score":[212],"96.83%,":[214,218],"97%,":[215],"96.67%,":[216],"respectively.":[219],"metrics":[221],"value":[222],"shows":[223],"promising":[229],"be":[232],"helpful":[233],"dermatologists":[235],"in":[236],"identifying":[237],"minimal":[241],"effort.":[242]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}