{"id":"https://openalex.org/W4313452745","doi":"https://doi.org/10.1109/icspis57063.2022.10002541","title":"DeepSkinNet: A Deep Learning Model for Skin Cancer Detection","display_name":"DeepSkinNet: A Deep Learning Model for Skin Cancer Detection","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4313452745","doi":"https://doi.org/10.1109/icspis57063.2022.10002541"},"language":"en","primary_location":{"id":"doi:10.1109/icspis57063.2022.10002541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis57063.2022.10002541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029475122","display_name":"Alla Abhiram","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A P Abhiram","raw_affiliation_strings":["TKM College of Engineering,Centre for Artificial Intelligence,Kollam,India-691005","Centre for Artificial Intelligence, TKM College of Engineering, Kollam, India-691005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKM College of Engineering,Centre for Artificial Intelligence,Kollam,India-691005","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Centre for Artificial Intelligence, TKM College of Engineering, Kollam, India-691005","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071967802","display_name":"S. M. Anzar","orcid":"https://orcid.org/0000-0002-6202-699X"},"institutions":[{"id":"https://openalex.org/I2802738084","display_name":"Fatima Mata National College","ror":"https://ror.org/02xyffp85","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802738084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S M Anzar","raw_affiliation_strings":["TKM College of Engineering,Department of Electronics and Communication,Kollam,India-691005","Department of Electronics and Communication, TKM College of Engineering, Kollam, India-691005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKM College of Engineering,Department of Electronics and Communication,Kollam,India-691005","institution_ids":["https://openalex.org/I2802738084"]},{"raw_affiliation_string":"Department of Electronics and Communication, TKM College of Engineering, Kollam, India-691005","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044789227","display_name":"Alavikunhu Panthakkan","orcid":"https://orcid.org/0000-0002-7746-0609"},"institutions":[{"id":"https://openalex.org/I132806614","display_name":"University of Dubai","ror":"https://ror.org/05h0z7c09","country_code":"AE","type":"education","lineage":["https://openalex.org/I132806614"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Alavikunhu Panthakkan","raw_affiliation_strings":["University of Dubai,College of Engineering and IT,U.A.E","College of Engineering and IT, University of Dubai, U.A.E"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dubai,College of Engineering and IT,U.A.E","institution_ids":["https://openalex.org/I132806614"]},{"raw_affiliation_string":"College of Engineering and IT, University of Dubai, U.A.E","institution_ids":["https://openalex.org/I132806614"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.9711,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98817346,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9991999864578247,"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":0.9991999864578247,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750065922737122},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.7742456793785095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7485352754592896},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.6861369609832764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6387906074523926},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5792630314826965},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5622222423553467},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5319445729255676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5197626948356628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4898075759410858},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.454484224319458},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4292391836643219},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08999592065811157}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750065922737122},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.7742456793785095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485352754592896},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.6861369609832764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6387906074523926},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5792630314826965},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5622222423553467},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5319445729255676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5197626948356628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4898075759410858},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.454484224319458},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4292391836643219},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08999592065811157},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis57063.2022.10002541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis57063.2022.10002541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7099999785423279,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2180648740","https://openalex.org/W2428965527","https://openalex.org/W2533184906","https://openalex.org/W2780611063","https://openalex.org/W2911653980","https://openalex.org/W2969546126","https://openalex.org/W3028737903","https://openalex.org/W3094329596","https://openalex.org/W3128168424","https://openalex.org/W3165391794","https://openalex.org/W4298168912","https://openalex.org/W4300978875","https://openalex.org/W6749290080"],"related_works":["https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2570625548","https://openalex.org/W4242329534","https://openalex.org/W2885487958","https://openalex.org/W4382790990","https://openalex.org/W2161255812","https://openalex.org/W2146868224"],"abstract_inverted_index":{"In":[0,56],"this":[1,57],"article,":[2],"an":[3,152],"intelligent":[4],"skin":[5,16,65,73,83],"cancer":[6,17,66,74],"detection":[7],"system":[8,48],"is":[9,12,18,62,78,90,104,118],"proposed.":[10],"It":[11],"common":[13],"knowledge":[14],"that":[15,137],"one":[19],"of":[20,115,158],"the":[21,25,40,59,86,108,112,116,133,138,145],"deadliest":[22],"diseases":[23],"in":[24,28],"world.":[26],"Therefore,":[27],"order":[29],"to":[30,92],"save":[31],"human":[32],"lives,":[33],"it":[34],"must":[35],"be":[36,54],"detected":[37],"correctly":[38],"at":[39],"early":[41],"stage,":[42],"for":[43,64,72],"which":[44],"a":[45],"fully":[46],"automatic":[47],"using":[49],"Deep":[50],"Learning":[51],"techniques":[52],"can":[53],"used.":[55],"work,":[58],"HAM10000":[60],"dataset":[61,103],"used":[63],"image":[67],"classification.":[68],"A":[69],"specific":[70],"model":[71,89,140,150],"classification,":[75,85],"DeepSkinNet":[76,88,149],"model,":[77],"proposed":[79,87,139],"and":[80,99,111,127,156,162],"tested.":[81],"For":[82],"lesion":[84],"compared":[91],"contemporary":[93],"models":[94,110,117],"such":[95,123],"as":[96,124],"AlexNet,":[97],"VGG-16,":[98],"InceptionV3.":[100],"The":[101,148],"same":[102],"trained":[105],"with":[106],"all":[107],"above":[109],"confusion":[113],"matrix":[114],"determined.":[119],"Known":[120],"quantitative":[121],"measures":[122],"accuracy,":[125,153],"precision":[126],"recall":[128,155],"are":[129],"also":[130],"evaluated.":[131],"Finally,":[132],"experimental":[134],"studies":[135],"shows":[136],"achieves":[141],"better":[142],"accuracy":[143],"than":[144],"other":[146],"models.":[147],"has":[151],"precision,":[154],"F1-score":[157],"97.354%,":[159],"98%,":[160],"97%":[161,163],"respectively.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
