{"id":"https://openalex.org/W2901333326","doi":"https://doi.org/10.1109/ictc.2018.8539451","title":"Convolutional Neural Network Algorithm with Parameterized Activation Function for Melanoma Classification","display_name":"Convolutional Neural Network Algorithm with Parameterized Activation Function for Melanoma Classification","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901333326","doi":"https://doi.org/10.1109/ictc.2018.8539451","mag":"2901333326"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2018.8539451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5006286489","display_name":"Abdulaziz Namozov","orcid":null},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Abdulaziz Namozov","raw_affiliation_strings":["Dept. of Computer Engineering, Gachon University, Seognam-si, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Gachon University, Seognam-si, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023896107","display_name":"Young Im Cho","orcid":"https://orcid.org/0000-0003-0184-7599"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Im Cho","raw_affiliation_strings":["Dept. of Computer Engineering, Gachon University, Seognam-si, Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Gachon University, Seognam-si, Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006286489"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":null,"apc_paid":null,"fwci":1.0339,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.80652935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"417","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9811999797821045,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8535816073417664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043273448944092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6454997062683105},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6211670637130737},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5819359421730042},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5625269412994385},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5303906798362732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5176315903663635},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.4537603259086609},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4152084290981293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40641582012176514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3519916534423828},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27352988719940186},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.25408291816711426},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1410595178604126}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8535816073417664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043273448944092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454997062683105},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6211670637130737},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5819359421730042},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5625269412994385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5303906798362732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5176315903663635},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.4537603259086609},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4152084290981293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40641582012176514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3519916534423828},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27352988719940186},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.25408291816711426},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1410595178604126},{"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/ictc.2018.8539451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W317170363","https://openalex.org/W1677182931","https://openalex.org/W1683511521","https://openalex.org/W1849277567","https://openalex.org/W1884191083","https://openalex.org/W1973378735","https://openalex.org/W2067794541","https://openalex.org/W2082526668","https://openalex.org/W2112525988","https://openalex.org/W2112796928","https://openalex.org/W2135480474","https://openalex.org/W2163605009","https://openalex.org/W2167510172","https://openalex.org/W2194775991","https://openalex.org/W2223737960","https://openalex.org/W2273897973","https://openalex.org/W2475079525","https://openalex.org/W2604272474","https://openalex.org/W2753852778","https://openalex.org/W2794825826","https://openalex.org/W2963946669","https://openalex.org/W3102785203","https://openalex.org/W4300954432","https://openalex.org/W4300962406","https://openalex.org/W4302292611","https://openalex.org/W4306369316","https://openalex.org/W6611025721","https://openalex.org/W6637359451","https://openalex.org/W6639204139","https://openalex.org/W6639540389","https://openalex.org/W6667585554","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2972825155","https://openalex.org/W2891300059","https://openalex.org/W3185137224","https://openalex.org/W2806426850","https://openalex.org/W4297795098","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305"],"abstract_inverted_index":{"Melanoma":[0,159],"is":[1,9],"the":[2,13,19,28,31,35,73,128,136,145],"deadliest":[3],"form":[4],"of":[5,12,23,30,37,42,75],"skin":[6,63],"cancer,":[7],"which":[8],"considered":[10],"one":[11],"most":[14],"common":[15],"human":[16],"malignancies":[17],"in":[18,46,58,72,109,135,148],"world.":[20],"Early":[21],"detection":[22],"this":[24,90],"disease":[25],"can":[26,105],"affect":[27],"result":[29],"illness":[32],"and":[33],"improve":[34],"chance":[36],"surviving.":[38],"The":[39],"tremendous":[40],"improvement":[41],"deep":[43,76,96],"learning":[44],"algorithms":[45],"image":[47,56,80,87],"recognition":[48,81],"tasks":[49],"promises":[50],"a":[51,95,116],"great":[52],"success":[53],"for":[54,62,79],"medical":[55,86],"analysis,":[57],"particular,":[59],"melanoma":[60,110,137],"classification":[61,138],"cancer":[64],"diagnosis.":[65],"Activation":[66],"functions":[67,134],"play":[68],"an":[69],"important":[70],"role":[71],"performance":[74],"neural":[77,97,118],"networks":[78],"problems":[82],"as":[83,85],"well":[84],"classification.":[88],"In":[89],"paper,":[91],"we":[92],"show":[93,114],"that":[94,115],"network":[98,119,130],"model":[99,120],"with":[100,121,131],"adaptive":[101,123],"piecewise":[102,124],"linear":[103,125],"units":[104,126],"achieve":[106],"excellent":[107],"results":[108,113],"recognition.":[111],"Experimental":[112],"convolutional":[117],"parameterized":[122],"outperforms":[127],"same":[129],"different":[132],"activation":[133],"task.":[139],"All":[140],"experiments":[141],"are":[142],"performed":[143],"using":[144],"data":[146],"provided":[147],"International":[149],"Skin":[150,155],"Imaging":[151],"Collaboration":[152],"(ISIC)":[153],"2018":[154],"Lesion":[156],"Analysis":[157],"towards":[158],"Detection.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
