{"id":"https://openalex.org/W3206340443","doi":"https://doi.org/10.1109/cibcb49929.2021.9562888","title":"A Scaled-2D CNN for Skin Cancer Diagnosis","display_name":"A Scaled-2D CNN for Skin Cancer Diagnosis","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3206340443","doi":"https://doi.org/10.1109/cibcb49929.2021.9562888","mag":"3206340443"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb49929.2021.9562888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5029751254","display_name":"Taki Hasan Rafi","orcid":"https://orcid.org/0000-0003-3920-9314"},"institutions":[{"id":"https://openalex.org/I135564639","display_name":"Ahsanullah University of Science and Technology","ror":"https://ror.org/04wfbp123","country_code":"BD","type":"education","lineage":["https://openalex.org/I135564639"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Taki Hasan Rafi","raw_affiliation_strings":["Ahsanullah University of Science and Technology,Department of Electrical and Electronic Engineering,Dhaka,Bangladesh","Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Ahsanullah University of Science and Technology,Department of Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I135564639"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I135564639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026573056","display_name":"Raed M. Shubair","orcid":"https://orcid.org/0000-0002-2586-9963"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed M. Shubair","raw_affiliation_strings":["New York University (NYU),Department of Electrical and Computer Engineering,Abu Dhabi,UAE","Department of Electrical and Computer Engineering, New York University (NYU), Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"New York University (NYU),Department of Electrical and Computer Engineering,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU), Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029751254"],"corresponding_institution_ids":["https://openalex.org/I135564639"],"apc_list":null,"apc_paid":null,"fwci":0.8012,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75747599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9955999851226807,"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":0.9652000069618225,"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/skin-cancer","display_name":"Skin cancer","score":0.7183943390846252},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6843826770782471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773660182952881},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.6599947810173035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526101231575012},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5554274320602417},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5495504140853882},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4916742444038391},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48243793845176697},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46929818391799927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4397008419036865},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42401623725891113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38320526480674744},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26629579067230225},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16710156202316284},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07160890102386475}],"concepts":[{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.7183943390846252},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6843826770782471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773660182952881},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6599947810173035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526101231575012},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5554274320602417},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5495504140853882},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4916742444038391},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48243793845176697},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46929818391799927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4397008419036865},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42401623725891113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38320526480674744},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26629579067230225},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16710156202316284},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07160890102386475},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb49929.2021.9562888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2152039796","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2537189671","https://openalex.org/W2591669284","https://openalex.org/W2592124696","https://openalex.org/W2609625738","https://openalex.org/W2611248927","https://openalex.org/W2768237417","https://openalex.org/W2773710444","https://openalex.org/W2786147899","https://openalex.org/W2788686457","https://openalex.org/W2792643794","https://openalex.org/W2884696388","https://openalex.org/W2899675781","https://openalex.org/W2906116968","https://openalex.org/W2910297960","https://openalex.org/W2914870198","https://openalex.org/W2922703796","https://openalex.org/W2949296127","https://openalex.org/W2955425717","https://openalex.org/W2964121744","https://openalex.org/W2979540569","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6757870883","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W3108298832","https://openalex.org/W4249377076","https://openalex.org/W4210389441","https://openalex.org/W4293226380","https://openalex.org/W2395241803","https://openalex.org/W2003211637","https://openalex.org/W2021488205","https://openalex.org/W2604451061","https://openalex.org/W2418110971","https://openalex.org/W3185137224"],"abstract_inverted_index":{"Every":[0],"year,":[1],"doctors":[2],"diagnose":[3,102],"skin":[4,64,84,103,128,154],"cancer":[5,65,74,85,129,155],"in":[6,56,82],"around":[7],"3":[8],"million":[9],"or":[10],"more":[11],"patients":[12],"across":[13],"the":[14,21,43,83,199,202,209,215],"globe.":[15],"Currently,":[16],"it":[17,47,54,105],"is":[18,66,123],"one":[19],"of":[20,26,42,72,80,120,153],"most":[22],"widely":[23],"recognized":[24],"kinds":[25],"cancers":[27],"for":[28,68,110],"human":[29],"health.":[30],"Hence,":[31],"we":[32,145],"need":[33],"an":[34,57,62,107,126,167],"early":[35,58,98],"diagnosis":[36],"to":[37,101,124,147,197,224],"prevail":[38],"any":[39],"critical":[40],"condition":[41],"infected":[44],"patients.":[45],"Apparently,":[46],"can":[48],"treat":[49],"with":[50,113,138,179,201],"topical":[51],"drugs,":[52],"if":[53],"diagnoses":[55],"stage.":[59],"Hence":[60],"as":[61,89,193],"outcome,":[63],"responsible":[67],"less":[69],"than":[70],"1%":[71],"all":[73],"deaths.":[75],"There":[76],"are":[77],"two":[78,186],"types":[79,152],"tumors":[81,156],"diseases":[86],"domain,":[87],"such":[88,192],"benign":[90],"and":[91,97,150,169,195,221],"malignant.":[92],"To":[93],"develop":[94,125],"a":[95,114,133,139,161],"robust":[96,134],"screening":[99,130],"system":[100],"cancer,":[104],"requires":[106],"efficient":[108,127,168],"algorithm":[109],"prediction,":[111],"trained":[112],"large":[115,140],"dataset.":[116,141,164],"The":[117,205],"primary":[118],"aim":[119],"this":[121,143],"research":[122],"process":[131],"using":[132,157],"deep":[135,176,189],"neural":[136,177,190],"network":[137],"In":[142],"paper,":[144],"intend":[146],"determine":[148],"considerate":[149],"dangerous":[151],"dermoscopic":[158],"images":[159],"from":[160],"publicly":[162],"available":[163],"We":[165],"proposed":[166,203,206,216],"fast":[170],"scaled":[171],"2D-CNN":[172],"based":[173],"on":[174],"EfficientNet-B7":[175],"architecture":[178,207,217],"image":[180],"preprocessing.":[181],"This":[182],"paper":[183],"also":[184],"uses":[185],"different":[187],"pre-trained":[188,211],"architectures,":[191],"VGG19,":[194],"ResNet-50":[196],"compare":[198],"performance":[200],"architecture.":[204],"outperformed":[208],"other":[210,225],"CNN":[212],"models":[213],"whereas":[214],"achieved":[218],"higher":[219],"AUC":[220],"accuracy":[222],"compared":[223],"architectures.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
