{"id":"https://openalex.org/W4200003869","doi":"https://doi.org/10.1145/3500931.3501005","title":"Application of multi-classification method of skin cancer based on dermoscopic image","display_name":"Application of multi-classification method of skin cancer based on dermoscopic image","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200003869","doi":"https://doi.org/10.1145/3500931.3501005"},"language":"en","primary_location":{"id":"doi:10.1145/3500931.3501005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5103325889","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0003-4475-6582"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Chen","raw_affiliation_strings":["College of Software, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040771051","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-3009-279X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["College of Information, Science and Engineering, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Information, Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690719","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-6739-1937"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, China","College of Software, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"College of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418543","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-1406-5721"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, China","College of Software, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"College of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084962743","display_name":"Xiaoyi Lv","orcid":"https://orcid.org/0000-0001-6855-7428"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Lv","raw_affiliation_strings":["College of Software, Key Laboratory of software engineering technology, Key Laboratory of signal detection and processing, Xinjiang University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Key Laboratory of software engineering technology, Key Laboratory of signal detection and processing, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103325889"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21893351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9039999842643738,"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/computer-science","display_name":"Computer science","score":0.7041136026382446},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.6989701390266418},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6986636519432068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6221394538879395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5154207944869995},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5123559236526489},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5063861608505249},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49805235862731934},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4565150737762451},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41699138283729553},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4119776487350464},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4117436408996582},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.41134849190711975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3996233344078064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.306435227394104},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22530889511108398},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13667631149291992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041136026382446},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.6989701390266418},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6986636519432068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6221394538879395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5154207944869995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5123559236526489},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5063861608505249},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49805235862731934},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4565150737762451},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41699138283729553},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4119776487350464},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4117436408996582},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.41134849190711975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3996233344078064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.306435227394104},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22530889511108398},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13667631149291992},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3500931.3501005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.550000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1606996132","https://openalex.org/W1987207115","https://openalex.org/W2023794106","https://openalex.org/W2108598243","https://openalex.org/W2581082771","https://openalex.org/W2591669284","https://openalex.org/W3124524740","https://openalex.org/W4210671204","https://openalex.org/W4236198867","https://openalex.org/W4240324316","https://openalex.org/W4242735564","https://openalex.org/W6648339351","https://openalex.org/W6669212415","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W3108298832","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W2055939901","https://openalex.org/W3145050838","https://openalex.org/W2018724029"],"abstract_inverted_index":{"As":[0],"a":[1,47,95,120],"kind":[2],"of":[3,25,34,65,98,105,116,126,134],"cancer":[4,9],"with":[5,36],"high":[6],"incidence,":[7],"skin":[8,37,66,135],"seriously":[10],"threatens":[11],"people's":[12],"life":[13],"and":[14,20,54,68,89,92,118,132],"health.":[15],"Early":[16],"detection,":[17],"early":[18,21],"diagnosis,":[19],"treatment":[22],"are":[23],"one":[24],"the":[26,31,43,61,72,101,112,123],"effective":[27],"ways":[28],"to":[29,59,70],"increase":[30],"survival":[32],"rate":[33],"patients":[35],"diseases.":[38],"Therefore,":[39],"this":[40],"paper":[41],"used":[42,81],"ResNet50":[44],"model":[45,109],"as":[46,85],"feature":[48],"extractor":[49],"based":[50],"on":[51,100],"deep":[52],"learning,":[53],"combined":[55],"machine":[56],"learning":[57],"algorithms":[58],"explore":[60],"heterogeneity":[62],"among":[63],"multi-type":[64],"cancer,":[67],"tried":[69],"construct":[71],"best":[73],"performance":[74],"computer-aided":[75],"diagnosis":[76,131],"model.":[77],"The":[78,107],"research":[79],"first":[80],"preprocessing":[82],"techniques":[83],"such":[84],"hair":[86],"noise":[87],"removal":[88],"data":[90,103],"enhancement,":[91],"then":[93],"achieved":[94],"classification":[96,133],"accuracy":[97],"90.497%":[99],"public":[102],"set":[104],"ISIC2019.":[106],"proposed":[108],"effectively":[110],"relieves":[111],"huge":[113],"work":[114],"pressure":[115],"dermatologists,":[117],"provides":[119],"reference":[121],"for":[122,129],"better":[124],"use":[125],"dermoscopic":[127],"images":[128],"intelligent":[130],"cancer.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
