{"id":"https://openalex.org/W4390191224","doi":"https://doi.org/10.2478/jaiscr-2024-0005","title":"A Few-Shot Learning Approach for Covid-19 Diagnosis Using Quasi-Configured Topological Spaces","display_name":"A Few-Shot Learning Approach for Covid-19 Diagnosis Using Quasi-Configured Topological Spaces","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4390191224","doi":"https://doi.org/10.2478/jaiscr-2024-0005"},"language":"en","primary_location":{"id":"doi:10.2478/jaiscr-2024-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2024-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2024-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"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":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sciendo.com/pdf/10.2478/jaiscr-2024-0005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020576097","display_name":"Hui Liu","orcid":"https://orcid.org/0009-0007-6877-0094"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Economics and Management , Changchun University of Technology , Changchun 130012, Jilin , China","School of Mathematics and Statistics , Changchun University of Technology , Changchun 130012 , Jilin , China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management , Changchun University of Technology , Changchun 130012, Jilin , China","institution_ids":["https://openalex.org/I4385474403"]},{"raw_affiliation_string":"School of Mathematics and Statistics , Changchun University of Technology , Changchun 130012 , Jilin , China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668506","display_name":"Chunjie Wang","orcid":"https://orcid.org/0000-0001-7808-4900"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjie Wang","raw_affiliation_strings":["School of Mathematics and Statistics , Changchun University of Technology , Changchun 130012 , Jilin , China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics , Changchun University of Technology , Changchun 130012 , Jilin , China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101697179","display_name":"Xin Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jiang","raw_affiliation_strings":["Department of Biochemistry , College of Basic Medical Sciences, Jilin University , Changchun 130021, Jilin , China"],"affiliations":[{"raw_affiliation_string":"Department of Biochemistry , College of Basic Medical Sciences, Jilin University , Changchun 130021, Jilin , China","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066661344","display_name":"Mohammad Khishe","orcid":"https://orcid.org/0000-0002-1024-8822"},"institutions":[{"id":"https://openalex.org/I4387154372","display_name":"Imam Khomeini Marine Science University","ror":"https://ror.org/04yn6kj97","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154372"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Khishe","raw_affiliation_strings":["Department of Electrical Engineering , Imam Khomeini Marine Science University , Nowshahr , Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering , Imam Khomeini Marine Science University , Nowshahr , Iran","institution_ids":["https://openalex.org/I4387154372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066661344"],"corresponding_institution_ids":["https://openalex.org/I4387154372"],"apc_list":null,"apc_paid":null,"fwci":4.9623,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9586557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"77","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9966999888420105,"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":0.9966999888420105,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9332000017166138,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8348591327667236},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7183270454406738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901654005050659},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.6210530996322632},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5931934714317322},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.574074387550354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5471760630607605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254057049751282},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5100587010383606},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4216506779193878},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36539214849472046},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3315848112106323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1570519506931305},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0974033772945404},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07343494892120361}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8348591327667236},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7183270454406738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901654005050659},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6210530996322632},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5931934714317322},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.574074387550354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5471760630607605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254057049751282},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5100587010383606},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4216506779193878},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36539214849472046},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3315848112106323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1570519506931305},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0974033772945404},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07343494892120361},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jaiscr-2024-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2024-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2024-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"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":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jaiscr-2024-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2024-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2024-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"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":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390191224.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W2018823572","https://openalex.org/W2114367267","https://openalex.org/W2140072163","https://openalex.org/W2169281351","https://openalex.org/W2317064518","https://openalex.org/W2891623084","https://openalex.org/W2963419579","https://openalex.org/W3017891573","https://openalex.org/W3034942609","https://openalex.org/W3037914312","https://openalex.org/W3042239862","https://openalex.org/W3093282011","https://openalex.org/W3112175976","https://openalex.org/W3118332433","https://openalex.org/W3120387732","https://openalex.org/W3131326546","https://openalex.org/W3157323780","https://openalex.org/W3160088594","https://openalex.org/W3163842339","https://openalex.org/W3167852095","https://openalex.org/W3168464182","https://openalex.org/W3184886727","https://openalex.org/W4200422350","https://openalex.org/W4205953230","https://openalex.org/W4211208325","https://openalex.org/W4224116753","https://openalex.org/W4224246723","https://openalex.org/W4285335640","https://openalex.org/W4285494545","https://openalex.org/W4294982544","https://openalex.org/W4296953388","https://openalex.org/W4297476735","https://openalex.org/W4306173264","https://openalex.org/W4307041079","https://openalex.org/W4309345164","https://openalex.org/W4315646376","https://openalex.org/W4317939814","https://openalex.org/W4321180989","https://openalex.org/W4361212638","https://openalex.org/W4366809083","https://openalex.org/W4368368482","https://openalex.org/W4385311348","https://openalex.org/W4385338410","https://openalex.org/W4386432074","https://openalex.org/W4387150715"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W2955491601","https://openalex.org/W146529714","https://openalex.org/W2316500695","https://openalex.org/W2017914143","https://openalex.org/W294285819","https://openalex.org/W2390764861","https://openalex.org/W1667634839","https://openalex.org/W2327067209"],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"and":[2,64,80,99,108,120,124,150,162,171],"efficient":[3],"COVID-19":[4,78,167],"diagnosis":[5],"is":[6],"crucial":[7],"in":[8,96,122,168],"clinical":[9,169],"settings.":[10],"However,":[11],"the":[12,67,92,115,138,156,160],"limited":[13],"availability":[14],"of":[15,69,106,140,164],"labeled":[16,52],"data":[17],"poses":[18],"a":[19,35,174],"challenge":[20],"for":[21,166,177],"traditional":[22],"machine":[23],"learning":[24,37],"algorithms.":[25],"To":[26],"address":[27],"this":[28],"issue,":[29],"we":[30],"propose":[31],"Turning":[32],"Point":[33],"(TP),":[34],"few-shot":[36],"(FSL)":[38],"approach":[39],"that":[40,89],"leverages":[41],"high-level":[42],"turning":[43],"point":[44],"mappings":[45],"to":[46,136,158],"build":[47],"sophisticated":[48],"representations":[49],"across":[50,128],"previously":[51],"data.":[53],"Unlike":[54],"existing":[55],"FSL":[56],"models,":[57],"TP":[58,71,144,151],"learns":[59],"using":[60,76],"quasi-configured":[61],"topological":[62],"spaces":[63],"efficiently":[65],"combines":[66],"outputs":[68],"diverse":[70],"learners.":[72],"We":[73],"evaluated":[74],"TPFSL":[75,90,112,154],"three":[77],"datasets":[79],"compared":[81],"it":[82],"with":[83,102],"seven":[84],"different":[85],"benchmarks.":[86],"Results":[87],"show":[88],"outperformed":[91,114],"top-performing":[93],"benchmark":[94,117],"models":[95],"both":[97],"one-shot":[98,123],"five-shot":[100,125],"tasks,":[101],"an":[103],"average":[104],"improvement":[105],"4.50%":[107],"4.43%,":[109],"respectively.":[110],"Additionally,":[111],"significantly":[113],"ProtoNet":[116],"by":[118],"12.966%":[119],"11.033%":[121],"classification":[126],"problems":[127],"all":[129],"datasets.":[130],"Ablation":[131],"experiments":[132],"were":[133],"also":[134],"conducted":[135],"analyze":[137],"impact":[139],"variables":[141],"such":[142],"as":[143],"density,":[145],"network":[146],"topology,":[147],"distance":[148],"measure,":[149],"placement.":[152],"Overall,":[153],"has":[155],"potential":[157],"improve":[159],"accuracy":[161],"speed":[163],"diagnoses":[165],"settings":[170],"can":[172],"be":[173],"valuable":[175],"tool":[176],"medical":[178],"professionals.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}