{"id":"https://openalex.org/W4392682662","doi":"https://doi.org/10.1007/s10586-024-04331-8","title":"Big dermatological data service for precise and immediate diagnosis by utilizing pre-trained learning models","display_name":"Big dermatological data service for precise and immediate diagnosis by utilizing pre-trained learning models","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392682662","doi":"https://doi.org/10.1007/s10586-024-04331-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-024-04331-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04331-8","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s10586-024-04331-8","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042676126","display_name":"Mohammed Elbes","orcid":"https://orcid.org/0000-0002-7663-5200"},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Mohammed Elbes","raw_affiliation_strings":["Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan","institution_ids":["https://openalex.org/I145019703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032974396","display_name":"Shadi AlZu\u2019bi","orcid":"https://orcid.org/0000-0003-4173-2323"},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Shadi AlZu\u2019bi","raw_affiliation_strings":["Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan","institution_ids":["https://openalex.org/I145019703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058946854","display_name":"Tarek Kanan","orcid":"https://orcid.org/0000-0003-2777-8077"},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Tarek Kanan","raw_affiliation_strings":["Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan","institution_ids":["https://openalex.org/I145019703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038179267","display_name":"Ala Mughaid","orcid":"https://orcid.org/0000-0002-1298-6933"},"institutions":[{"id":"https://openalex.org/I157392197","display_name":"Hashemite University","ror":"https://ror.org/04a1r5z94","country_code":"JO","type":"education","lineage":["https://openalex.org/I157392197"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ala Mughaid","raw_affiliation_strings":["Department of Information Technology, Faculty of Prince Al-Hussien bin Abdullah for IT, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Prince Al-Hussien bin Abdullah for IT, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan","institution_ids":["https://openalex.org/I157392197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092815529","display_name":"Samia A. Abu-Shanab","orcid":null},"institutions":[{"id":"https://openalex.org/I145019703","display_name":"Al-Zaytoonah University of Jordan","ror":"https://ror.org/04a5b0p13","country_code":"JO","type":"education","lineage":["https://openalex.org/I145019703"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Samia Abushanab","raw_affiliation_strings":["Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Sciences and IT, Al Zaytoonah University of Jordan, P.O. Box 130, Amman, 11733, Jordan","institution_ids":["https://openalex.org/I145019703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032974396","https://openalex.org/A5042676126"],"corresponding_institution_ids":["https://openalex.org/I145019703"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":2.4285,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90461737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"27","issue":"5","first_page":"6931","last_page":"6951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9570000171661377,"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/T12796","display_name":"Dermatological and COVID-19 studies","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"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/computer-science","display_name":"Computer science","score":0.8430787324905396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7180938720703125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6682488322257996},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6372115612030029},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.6299855709075928},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5870488882064819},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5726810097694397},{"id":"https://openalex.org/keywords/dermatological-diseases","display_name":"Dermatological diseases","score":0.49234139919281006},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4757290184497833},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.45469796657562256},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4245317578315735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2643389105796814},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17415612936019897},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.09604984521865845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8430787324905396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7180938720703125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6682488322257996},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6372115612030029},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6299855709075928},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5870488882064819},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5726810097694397},{"id":"https://openalex.org/C2909963953","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatological diseases","level":2,"score":0.49234139919281006},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4757290184497833},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45469796657562256},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4245317578315735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2643389105796814},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17415612936019897},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.09604984521865845},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-024-04331-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04331-8","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10586-024-04331-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04331-8","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1998451602","https://openalex.org/W2581082771","https://openalex.org/W2749116339","https://openalex.org/W2905150724","https://openalex.org/W2945587898","https://openalex.org/W2954996726","https://openalex.org/W2972300073","https://openalex.org/W2981841914","https://openalex.org/W3007641206","https://openalex.org/W3014613513","https://openalex.org/W3027016308","https://openalex.org/W3035962230","https://openalex.org/W3198013768","https://openalex.org/W3208082224","https://openalex.org/W4211264657","https://openalex.org/W4223903337","https://openalex.org/W4224002567","https://openalex.org/W4229003689","https://openalex.org/W4293062352","https://openalex.org/W4293182482","https://openalex.org/W4300949450","https://openalex.org/W4302286670","https://openalex.org/W4353094257","https://openalex.org/W4376528501","https://openalex.org/W6602469948","https://openalex.org/W6603649181","https://openalex.org/W6776797670"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"approaches":[3],"have":[4,136,151,200,207],"been":[5,137],"shown":[6],"to":[7,36,60,64,81,92,100,121,153,160,227,260,286],"be":[8,53,119,287],"effective":[9],"in":[10,17,77,105,147,156,275],"classifying":[11,186],"skin":[12,106,141,190,231,264],"diseases":[13],"and":[14,39,55,103,112,144,195,209,223,248,251,277,292],"outperforming":[15],"dermatologists":[16],"diagnosis.":[18],"Using":[19],"big":[20,75,116,171],"data":[21,76,117,172],"as":[22,46],"a":[23,154],"dermatological":[24,175],"diagnosis":[25,176],"service":[26],"can":[27,52,79,85,97,118],"present":[28],"several":[29,82],"challenges.":[30],"One":[31],"challenge":[32],"is":[33,58,241,258],"the":[34,72,87,168,180,210,239,252,256,262,293],"need":[35],"accurately":[37],"label":[38],"classify":[40,228],"large":[41],"amounts":[42],"of":[43,48,74,89,170,182,189,238,270],"data,":[44],"such":[45],"images":[47],"infected":[49],"skin.":[50],"This":[51,165,218],"time-consuming":[54],"resource-intensive.":[56],"It":[57,84,96],"important":[59],"implement":[61],"proper":[62],"safeguards":[63],"protect":[65],"sensitive":[66],"medical":[67],"information.":[68],"Despite":[69],"these":[70,221],"challenges,":[71],"use":[73,169,181],"dermatology":[78],"lead":[80],"outcomes.":[83,95],"improve":[86],"accuracy":[88,268],"diagnoses,":[90],"leading":[91],"better":[93],"patient":[94],"also":[98,206],"help":[99],"identify":[101,122],"patterns":[102],"trends":[104],"conditions,":[107,127],"allowing":[108],"for":[109,125,140,173,185,212],"earlier":[110],"detection":[111],"prevention.":[113],"In":[114],"addition,":[115],"used":[120,139],"risk":[123],"factors":[124],"certain":[126,216],"enabling":[128],"targeted":[129],"preventative":[130],"measures.":[131],"Convolutional":[132],"neural":[133],"networks":[134],"(CNNs)":[135],"widely":[138],"lesion":[142],"classification,":[143],"recent":[145],"advances":[146],"machine":[148],"learning":[149,194,198,274],"algorithms":[150],"led":[152],"decrease":[155],"misclassification":[157],"rates":[158],"compared":[159],"manual":[161],"categorization":[162],"by":[163],"dermatologists.":[164],"article":[166],"utilizes":[167],"accurate":[174],"services,":[177],"it":[178],"introduces":[179],"various":[183],"CNNs":[184],"different":[187,230],"types":[188],"cancer.":[191],"While":[192],"deep":[193],"pretrained":[196,225],"transfer":[197,273],"techniques":[199],"advantages":[201],"over":[202],"traditional":[203],"methods,":[204],"they":[205],"limitations":[208],"potential":[211],"incorrect":[213],"identification":[214],"under":[215],"circumstances.":[217],"work":[219],"discusses":[220],"vulnerabilities":[222],"employs":[224],"models":[226],"11":[229,263],"diseases,":[232],"including":[233],"monkey":[234],"pox.":[235],"The":[236,281],"performance":[237],"system":[240,257],"evaluated":[242],"using":[243,272],"accuracy,":[244],"loss,":[245],"precision,":[246],"recall,":[247],"F1":[249],"score,":[250],"results":[253],"show":[254],"that":[255],"able":[259],"diagnose":[261],"illnesses":[265],"with":[266,289],"an":[267],"rate":[269],"97%":[271],"Keras":[276],"computer":[278],"vision":[279],"models.":[280],"best":[282],"model":[283],"was":[284],"found":[285],"Inception_ResNetV2":[288],"50":[290],"epochs":[291],"Adam":[294],"optimizer.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}