{"id":"https://openalex.org/W4391860268","doi":"https://doi.org/10.1515/jisys-2023-0119","title":"A transfer learning approach for the classification of liver cancer","display_name":"A transfer learning approach for the classification of liver cancer","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4391860268","doi":"https://doi.org/10.1515/jisys-2023-0119"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2023-0119","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2023-0119","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2023-0119/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2023-0119/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092921395","display_name":"Fatimah I. Abdulsahib","orcid":"https://orcid.org/0009-0004-0735-4044"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Fatimah I. Abdulsahib","raw_affiliation_strings":["Doctoral School of Multidisciplinary Engineering Sciences, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Doctoral School of Multidisciplinary Engineering Sciences, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068021506","display_name":"Belal Al\u2010Khateeb","orcid":"https://orcid.org/0000-0003-3066-0790"},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Belal Al-Khateeb","raw_affiliation_strings":["Computer Science Department, College of Computer Science and Information Technology, University of Anbar , 31001 , Ramadi, Anbar , Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, College of Computer Science and Information Technology, University of Anbar , 31001 , Ramadi, Anbar , Iraq","institution_ids":["https://openalex.org/I27768575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020781131","display_name":"L\u00e1szl\u00f3 T. K\u00f3czy","orcid":"https://orcid.org/0000-0003-1316-4832"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"L\u00e1szl\u00f3 T. K\u00f3czy","raw_affiliation_strings":["Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045739685","display_name":"Szilvia Nagy","orcid":"https://orcid.org/0000-0001-9556-5095"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Szilvia Nagy","raw_affiliation_strings":["Department of Telecommunications, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Sz\u00e9chenyi Istv\u00e1n University , Egyetem t\u00e9r 1 , Gy\u0151r , 9026 , Hungary","institution_ids":["https://openalex.org/I83579964"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092921395"],"corresponding_institution_ids":["https://openalex.org/I83579964"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":1.0177,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84534535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9466999769210815,"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":0.9431999921798706,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.6245759725570679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785386562347412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224665403366089},{"id":"https://openalex.org/keywords/liver-cancer","display_name":"Liver cancer","score":0.4956170320510864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38837265968322754},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34722277522087097},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19211801886558533},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10304668545722961}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6245759725570679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785386562347412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224665403366089},{"id":"https://openalex.org/C2776231280","wikidata":"https://www.wikidata.org/wiki/Q623031","display_name":"Liver cancer","level":3,"score":0.4956170320510864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38837265968322754},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34722277522087097},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19211801886558533},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10304668545722961}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2023-0119","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2023-0119","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2023-0119/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:80c0fadf2b4f4d4abd82c081654eabc4","is_oa":true,"landing_page_url":"https://doaj.org/article/80c0fadf2b4f4d4abd82c081654eabc4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 32, Iss 1, Pp 1-14 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2023-0119","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2023-0119","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2023-0119/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391860268.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1545229463","https://openalex.org/W2034467418","https://openalex.org/W2056568601","https://openalex.org/W2792583658","https://openalex.org/W2916091221","https://openalex.org/W2951045917","https://openalex.org/W2963273475","https://openalex.org/W2978305650","https://openalex.org/W3016548657","https://openalex.org/W3020545570","https://openalex.org/W3091776637","https://openalex.org/W3099361481","https://openalex.org/W3115167184","https://openalex.org/W3128923685","https://openalex.org/W3162524694","https://openalex.org/W3197438232","https://openalex.org/W4210437681","https://openalex.org/W4223899585","https://openalex.org/W4286208787","https://openalex.org/W4288042134","https://openalex.org/W4293527522","https://openalex.org/W4296685329","https://openalex.org/W4313582639","https://openalex.org/W4318482865","https://openalex.org/W4380882332","https://openalex.org/W4387018068"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Abstract":[0],"Problem":[1],"The":[2,29,166,200,243],"frequency":[3],"of":[4,32,119,171,235,245,255],"liver":[5,33,77,120,144,187],"cancer":[6,34,121],"is":[7,12,27,57,212],"rising":[8],"worldwide,":[9],"and":[10,20,24,46,65,79,108,157,176,183,196,219],"it":[11,56,190],"a":[13,63,110,240],"common,":[14],"deadly":[15],"condition.":[16],"For":[17],"successful":[18],"treatment":[19],"patient":[21],"survival,":[22],"early":[23],"precise":[25],"diagnosis":[26],"essential.":[28],"automated":[30],"classification":[31,222],"using":[35,122,148,169],"medical":[36,71,123],"imaging":[37],"data":[38],"has":[39],"shown":[40],"potential":[41],"outcome":[42],"when":[43,237],"employing":[44],"machine":[45],"deep":[47,53],"learning":[48,113],"(DL)":[49],"approaches.":[50],"To":[51],"train":[52],"neural":[54,151],"networks,":[55],"still":[58],"quite":[59],"difficult":[60],"to":[61,154,214],"obtain":[62],"large":[64],"diverse":[66],"dataset,":[67],"especially":[68],"in":[69,103,138,185,208,252],"the":[70,100,117,129,205,209,227,233,253,256,260],"field.":[72],"Aim":[73],"This":[74,91,231],"article":[75],"classifies":[76],"tumors":[78],"identifies":[80],"whether":[81],"they":[82],"are":[83,146],"malignant,":[84],"benign":[85],"tumor,":[86],"or":[87],"normal":[88],"liver.":[89],"Methods":[90],"study":[92],"mainly":[93],"focuses":[94],"on":[95,239],"computed":[96],"tomography":[97],"scans":[98],"from":[99,143],"Radiology":[101],"Institute":[102],"Baghdad":[104],"Medical":[105],"City,":[106],"Iraq,":[107],"provides":[109],"novel":[111],"transfer":[112],"(TL)":[114],"approach":[115],"for":[116,194],"categorization":[118],"images.":[124],"Our":[125],"findings":[126],"show":[127,203],"that":[128,160,204],"TL-based":[130],"model":[131,211,217],"performs":[132],"better":[133],"at":[134],"classifying":[135],"data,":[136],"as":[137],"our":[139],"method,":[140],"high-level":[141],"characteristics":[142],"images":[145],"extracted":[147],"pre-trained":[149],"convolutional":[150],"networks":[152],"compared":[153],"conventional":[155],"techniques":[156],"DL":[158],"models":[159,170,236],"do":[161],"not":[162],"use":[163,244],"TL.":[164],"Results":[165],"proposed":[167],"method":[168],"TL":[172],"technology":[173],"(VGG-16,":[174],"ResNet-50,":[175],"MobileNetV2)":[177],"successfully":[178],"achieves":[179],"high":[180],"accuracy,":[181],"sensitivity,":[182],"specificity":[184],"identifying":[186],"cancer,":[188],"making":[189],"an":[191,250],"important":[192],"tool":[193],"radiologists":[195],"other":[197],"healthcare":[198],"professionals.":[199],"experiment":[201],"results":[202],"diagnostic":[206],"accuracy":[207,223],"VGG-16":[210],"up":[213],"99%,":[215],"ResNet-50":[216],"100%,":[218],"99%":[220],"total":[221],"was":[224],"attained":[225],"with":[226],"MobileNetV2":[228],"model.":[229],"Conclusion":[230],"proves":[232],"improvement":[234,251],"working":[238],"small":[241],"dataset.":[242],"new":[246],"layers":[247],"also":[248],"showed":[249],"performance":[254],"classifiers,":[257],"which":[258],"accelerated":[259],"process.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2024-02-16T00:00:00"}
