{"id":"https://openalex.org/W4417473389","doi":"https://doi.org/10.1109/sipaim67325.2025.11283391","title":"Skin Cancer Detection Using Convolutional Networks and Vision Transformers","display_name":"Skin Cancer Detection Using Convolutional Networks and Vision Transformers","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4417473389","doi":"https://doi.org/10.1109/sipaim67325.2025.11283391"},"language":null,"primary_location":{"id":"doi:10.1109/sipaim67325.2025.11283391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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/A5003554369","display_name":"Davi Carvalho","orcid":"https://orcid.org/0009-0005-2924-4206"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Davi Israel Abtibol Carvalho","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119832543","display_name":"F\u00e1bio Cavalcante Binatti","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e1bio Cavalcante Binatti","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089746009","display_name":"Marly. G. F. Costa","orcid":null},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marly. G. F. Costa","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004818827","display_name":"C\u00edcero Ferreira Fernandes Costa Filho","orcid":"https://orcid.org/0000-0003-3325-5715"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C\u00edcero F.F. Costa Filho","raw_affiliation_strings":["Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas,Center for Research and Development in Electronics and Information Technology,Manaus,Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003554369"],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55717957,"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":"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":0.9955000281333923,"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":0.9955000281333923,"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.0005000000237487257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7250000238418579},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5774999856948853},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5342000126838684},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5005999803543091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.47760000824928284},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4726000130176544}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7972999811172485},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7250000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502000093460083},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5342000126838684},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.47760000824928284},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4341000020503998},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31459999084472656},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim67325.2025.11283391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2559090303","https://openalex.org/W2564782580","https://openalex.org/W2591669284","https://openalex.org/W2753863096","https://openalex.org/W2794825826","https://openalex.org/W2906116968","https://openalex.org/W2914870198","https://openalex.org/W2972588473","https://openalex.org/W3016700999","https://openalex.org/W3136200549","https://openalex.org/W4388145401","https://openalex.org/W4391342316","https://openalex.org/W4393935425","https://openalex.org/W4400944237"],"related_works":[],"abstract_inverted_index":{"Skin":[0],"cancer,":[1],"affecting":[2],"over":[3],"1.5":[4],"million":[5],"in":[6,45,77,109,130],"2022,":[7],"poses":[8],"a":[9],"significant":[10],"public":[11],"health":[12],"concern.":[13],"Traditional":[14],"methods":[15],"such":[16],"as":[17],"visual":[18,46],"inspection":[19],"and":[20,33,37,60,93,106,122,141],"dermoscopy":[21],"can":[22],"lead":[23],"to":[24,27,56,91],"misdiagnosis":[25],"due":[26],"the":[28,31,42,88,95,126,131,134],"similarity":[29],"of":[30,35,97,120,139,144],"pixels":[32],"textures":[34],"malignant":[36],"benign":[38],"lesions.":[39,112],"Faced":[40],"with":[41,116,133],"challenges":[43],"inherent":[44],"diagnosis,":[47],"computer-aided":[48],"diagnosis":[49],"(CAD)":[50],"systems":[51],"have":[52,73],"become":[53],"increasingly":[54],"relevant":[55],"improving":[57],"diagnostic":[58],"accuracy":[59,138],"efficiency.":[61],"In":[62],"this":[63],"context,":[64],"deep":[65,99],"learning":[66,100],"models,":[67,101],"specifically":[68],"convolutional":[69],"neural":[70],"networks":[71],"(CNNs),":[72],"shown":[74],"considerable":[75],"progress":[76],"classifying":[78,110],"skin":[79,111],"lesions":[80],"through":[81],"complex":[82],"feature":[83],"extraction":[84],"This":[85],"study":[86],"uses":[87],"HAM10000":[89],"dataset":[90],"investigate":[92],"compare":[94],"performance":[96],"different":[98],"including":[102],"CNNs,":[103],"vision":[104,123],"transformers":[105,124],"ensemble":[107,118],"methods,":[108],"The":[113],"results":[114,127],"obtained":[115,129],"an":[117,142],"model":[119],"CNNs":[121],"outperform":[125],"previously":[128],"literature":[132],"same":[135],"database.":[136],"An":[137],"93.61%":[140],"F1-score":[143],"96.04%":[145],"was":[146],"obtained.":[147]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-18T00:00:00"}
