{"id":"https://openalex.org/W4404076328","doi":"https://doi.org/10.2298/csis240229066p","title":"Segmentation of COVID-19 CT lesions in CT scans through transfer learning","display_name":"Segmentation of COVID-19 CT lesions in CT scans through transfer learning","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404076328","doi":"https://doi.org/10.2298/csis240229066p"},"language":"en","primary_location":{"id":"doi:10.2298/csis240229066p","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240229066p","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400066P","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400066P","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114529480","display_name":"Symeon Psaraftis-Souranis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Symeon Psaraftis-Souranis","raw_affiliation_strings":["Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068272767","display_name":"Christos Troussas","orcid":"https://orcid.org/0000-0002-9604-2015"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Troussas","raw_affiliation_strings":["Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062640206","display_name":"Athanasios Voulodimos","orcid":"https://orcid.org/0000-0002-0632-9769"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanasios Voulodimos","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049938873","display_name":"Cleo Sgouropoulou","orcid":"https://orcid.org/0000-0001-8173-2622"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Cleo Sgouropoulou","raw_affiliation_strings":["Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114529480"],"corresponding_institution_ids":["https://openalex.org/I4210094138"],"apc_list":null,"apc_paid":null,"fwci":0.4179,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67446031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":"1","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7978593707084656},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7584925889968872},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6435185670852661},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.546812117099762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4585414528846741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37486398220062256},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32691892981529236},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19615435600280762},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10760512948036194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978593707084656},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7584925889968872},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6435185670852661},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.546812117099762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4585414528846741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37486398220062256},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32691892981529236},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19615435600280762},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10760512948036194},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis240229066p","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240229066p","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400066P","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis240229066p","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis240229066p","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142400066P","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404076328.pdf","grobid_xml":"https://content.openalex.org/works/W4404076328.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2020421316","https://openalex.org/W2108598243","https://openalex.org/W2129112648","https://openalex.org/W2183659962","https://openalex.org/W2464708700","https://openalex.org/W2963446712","https://openalex.org/W3014974815","https://openalex.org/W3096401021","https://openalex.org/W3107214201","https://openalex.org/W3108591672","https://openalex.org/W3112701542","https://openalex.org/W3115781494","https://openalex.org/W3121891683","https://openalex.org/W3123051771","https://openalex.org/W3133020722","https://openalex.org/W3156276993","https://openalex.org/W3159019058","https://openalex.org/W3161718150","https://openalex.org/W3169237196","https://openalex.org/W3174323841","https://openalex.org/W3207930973","https://openalex.org/W3214734349","https://openalex.org/W3217747451","https://openalex.org/W4212952716","https://openalex.org/W4214717720","https://openalex.org/W4220928895","https://openalex.org/W4224246723","https://openalex.org/W4280614033","https://openalex.org/W4288036163","https://openalex.org/W4290025121","https://openalex.org/W4375929886","https://openalex.org/W6940613197"],"related_works":["https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W4394620624","https://openalex.org/W3177646415","https://openalex.org/W4226434842"],"abstract_inverted_index":{"Since":[0],"its":[1],"emergence":[2],"at":[3],"the":[4,80,120,124,128,166,170,174,212],"end":[5],"of":[6,65,79,114,140,157,163,185,192,214],"2019,":[7],"SARS-CoV-2":[8,218],"has":[9,18],"infected":[10],"millions":[11],"worldwide,":[12],"challenging":[13],"healthcare":[14],"systems":[15],"globally.":[16],"This":[17],"prompted":[19],"many":[20],"researchers":[21],"to":[22,207],"explore":[23],"how":[24],"machine":[25],"learning":[26,45,82,199],"can":[27,205],"assist":[28],"clinicians":[29],"in":[30,52,211],"diagnosing":[31],"infections":[32],"caused":[33],"by":[34,70,94,148],"SARS-CoV-2.":[35],"Building":[36],"on":[37],"previous":[38],"studies,":[39],"we":[40,60,84],"propose":[41],"a":[42,62,87,103,134,154,180],"novel":[43],"deep":[44,81],"framework":[46],"designed":[47],"for":[48],"segmenting":[49],"lesions":[50,215],"evident":[51],"Computed":[53],"Tomography":[54],"(CT)":[55],"scans.":[56],"For":[57],"this":[58,193],"work,":[59],"utilized":[61],"dataset":[63],"consisting":[64],"20":[66],"CT":[67],"scans":[68],"annotated":[69],"experts":[71],"and":[72,76,108,116,136,142,159,182,187],"performed":[73],"training,":[74],"validation,":[75],"external":[77,125,171],"evaluation":[78,126,172],"models":[83],"implemented,":[85],"using":[86],"5-fold":[88],"cross-validation":[89],"scheme.":[90],"When":[91,145],"splitting":[92,146],"data":[93,147],"slice,":[95],"our":[96,150],"optimal":[97,151],"model":[98,129,152,175],"achieved":[99,153],"noteworthy":[100],"performance,":[101],"attaining":[102],"Dice":[104],"Similarity":[105],"Coefficient":[106],"(DSC)":[107],"Intersection":[109],"over":[110],"Union":[111],"(IoU)":[112],"score":[113,139,156,162,184],"0.8644":[115],"0.7612":[117],"respectively,":[118],"during":[119,165],"validation":[121,167],"phase.":[122,168],"In":[123],"phase,":[127,173],"maintained":[130,176],"strong":[131,177],"performance":[132,178,210],"with":[133,179,201,217],"DSC":[135,155,181],"an":[137,160],"IoU":[138,161,183],"0.7211":[141],"0.5641,":[143],"respectively.":[144,189],"patient,":[149],"0.7989":[158],"0.6686":[164],"During":[169],"0.7369":[186],"0.5837,":[188],"The":[190],"results":[191],"research":[194],"suggest":[195],"that":[196],"incorporating":[197],"transfer":[198],"along":[200],"appropriate":[202],"preprocessing":[203],"techniques,":[204],"contribute":[206],"achieving":[208],"state-of-the-art":[209],"segmentation":[213],"associated":[216],"infections.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}
