乐胖代购免代理版

{"id":"https://openalex.org/W4283722594","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806568","title":"Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning","display_name":"Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4283722594","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806568"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806568","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5046040123","display_name":"Yali Nie","orcid":"https://orcid.org/0000-0003-1840-791X"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yali Nie","raw_affiliation_strings":["Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014275270","display_name":"Marco Carrat\u00f9","orcid":"https://orcid.org/0000-0001-8146-6088"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Carratu","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036351446","display_name":"Mattias O\u2032Nils","orcid":"https://orcid.org/0000-0001-8607-4083"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mattias O'Nils","raw_affiliation_strings":["Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016248242","display_name":"Paolo Sommella","orcid":"https://orcid.org/0000-0001-9607-866X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Sommella","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032008503","display_name":"Mo\u00efse Avoci Ugwiri","orcid":"https://orcid.org/0000-0001-8622-1119"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Avoci Ugwiri Moise","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Salerno, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014048644","display_name":"Jan Lundgren","orcid":"https://orcid.org/0000-0003-1819-6200"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jan Lundgren","raw_affiliation_strings":["Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. Electronics Design, Mid Sweden University, Sundsvall, Sweden","institution_ids":["https://openalex.org/I56475706"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.269,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.842697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":85},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9999,"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":0.9999,"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":0.9959,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/skin-temperature","display_name":"Skin Temperature","score":0.46259397}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.60407007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58635837},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.56837535},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.53753644},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.5330466},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.5032446},{"id":"https://openalex.org/C3019079563","wikidata":"https://www.wikidata.org/wiki/Q67173088","display_name":"Skin temperature","level":2,"score":0.46259397},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.45238662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44969258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41559356},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.26606458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21017253},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19887552},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.1740804},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10093182},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806568","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.72,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1982704641","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2581082771","https://openalex.org/W2612806369","https://openalex.org/W2786147899","https://openalex.org/W2899771611","https://openalex.org/W2907688358","https://openalex.org/W2951696358","https://openalex.org/W2964054038","https://openalex.org/W2996717109","https://openalex.org/W3119005666","https://openalex.org/W3119766921","https://openalex.org/W3120507271","https://openalex.org/W3130244078","https://openalex.org/W3136589419","https://openalex.org/W3155081348","https://openalex.org/W3167191950","https://openalex.org/W3198718561","https://openalex.org/W4211264657"],"related_works":["https://openalex.org/W2992856432","https://openalex.org/W2790129917","https://openalex.org/W2212883587","https://openalex.org/W2186390138","https://openalex.org/W2127787376","https://openalex.org/W2100638064","https://openalex.org/W2060035984","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W1916685473"],"abstract_inverted_index":{"Since":[0],"early-stage":[1],"skin":[2,24,36,61,129],"cancer":[3,37,62],"identification":[4],"can":[5],"improve":[6,41],"melanoma":[7,42],"prognosis":[8],"and":[9,69,85],"significantly":[10],"reduce":[11],"treatment":[12],"costs,":[13],"AI-based":[14],"diagnosis":[15],"systems":[16],"might":[17],"greatly":[18],"benefit":[19],"patients":[20],"suffering":[21],"from":[22],"suspicious":[23],"lesions.":[25],"The":[26,44,105,116],"study":[27,66],"proposes":[28],"a":[29,35,92,132],"cosine":[30,133],"cyclical":[31,134],"learning":[32,77,80,135],"rate":[33],"with":[34,88,131],"classification":[38,63],"model":[39,73],"to":[40],"prediction.":[43],"contributions":[45],"of":[46,95,107],"models":[47],"involve":[48],"three":[49,75],"critical":[50],"CNNs,":[51],"which":[52],"are":[53],"standard":[54],"deep":[55],"feature":[56],"extraction":[57],"modules":[58],"for":[59,102],"the":[60,108,121],"in":[64,127],"this":[65],"(Vgg19,":[67],"ResNet101":[68],"InceptionV3).":[70],"Each":[71],"CNN":[72],"applies":[74],"different":[76],"rates:":[78],"fixed":[79],"rate(LR),":[81],"Cosine":[82,86],"Annealing":[83,87],"LR,":[84],"WarmRestarts.":[89],"HAM10000":[90],"is":[91],"large":[93],"collection":[94],"publicly":[96],"available":[97],"dermoscopic":[98],"images":[99],"dataset":[100],"used":[101],"our":[103],"experiments.":[104,115],"performance":[106],"proposed":[109,122],"approach":[110],"was":[111],"appraised":[112],"through":[113],"comparative":[114],"outcome":[117],"has":[118,124],"indicated":[119],"that":[120],"method":[123],"high":[125],"efficiency":[126],"diagnosing":[128],"lesions":[130],"rate.":[136]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4283722594","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2024-12-31T11:27:48.947448","created_date":"2022-07-01"}