{"id":"https://openalex.org/W4386568701","doi":"https://doi.org/10.25699/sssb.2023.50.4.016","title":"APPLICATION OF MACHINE LEARNING TECHNOLOGIES IN DIAGNOSIS BASED ON X-RAY IMAGES","display_name":"APPLICATION OF MACHINE LEARNING TECHNOLOGIES IN DIAGNOSIS BASED ON X-RAY IMAGES","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386568701","doi":"https://doi.org/10.25699/sssb.2023.50.4.016"},"language":"ru","primary_location":{"id":"doi:10.25699/sssb.2023.50.4.016","doi":"https://doi.org/10.25699/sssb.2023.50.4.016","is_oa":true,"landing_page_url":"http://doi.org/10.25699/sssb.2023.50.4.016","pdf_url":"http://dx.doi.org/10.25699/sssb.2023.50.4.016","source":{"id":"https://openalex.org/S4210221413","display_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","issn_l":"2304-1943","issn":["2304-1943"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dx.doi.org/10.25699/sssb.2023.50.4.016","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109637092","display_name":"\u041c.\u0412. \u0422\u0438\u0442\u043e\u0432\u0430","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u041c.\u0412. \u0422\u0438\u0442\u043e\u0432\u0430","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092831772","display_name":"Ruslan Ch. Bobonazarov","orcid":"https://orcid.org/0009-0008-4749-6839","observed_orcids":["https://orcid.org/0009-0008-4749-6839"]},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"\u0420.\u0427. \u0411\u043e\u0431\u043e\u043d\u0430\u0437\u0430\u0440\u043e\u0432","raw_affiliation_strings":["\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u0444\u0435\u0434\u0435\u0440\u0430\u043b\u044c\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433.\u041a\u0430\u0437\u0430\u043d\u044c"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u0444\u0435\u0434\u0435\u0440\u0430\u043b\u044c\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433.\u041a\u0430\u0437\u0430\u043d\u044c","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092831773","display_name":"Dmitrii Andreevich Chmil","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I54195498","display_name":"Kazan State Technological University","ror":"https://ror.org/03shav252","country_code":"RU","type":"education","lineage":["https://openalex.org/I54195498"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"\u0414.\u0410. \u0427\u043c\u0438\u043b\u044c","raw_affiliation_strings":["\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u043d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433. \u041a\u0430\u0437\u0430\u043d\u044c"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u043d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433. \u041a\u0430\u0437\u0430\u043d\u044c","institution_ids":["https://openalex.org/I54195498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002157272","display_name":"\u041d \u0410 \u0421\u0442\u0430\u0440\u043e\u0432\u0435\u0440\u043e\u0432\u0430","orcid":"https://orcid.org/0000-0002-5524-1325","observed_orcids":["https://orcid.org/0000-0002-5524-1325"]},"institutions":[{"id":"https://openalex.org/I54195498","display_name":"Kazan State Technological University","ror":"https://ror.org/03shav252","country_code":"RU","type":"education","lineage":["https://openalex.org/I54195498"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"\u041d.\u0410. \u0421\u0442\u0430\u0440\u043e\u0432\u0435\u0440\u043e\u0432\u0430","raw_affiliation_strings":["\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u043d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433. \u041a\u0430\u0437\u0430\u043d\u044c"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u041a\u0430\u0437\u0430\u043d\u0441\u043a\u0438\u0439 \u043d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u0433. \u041a\u0430\u0437\u0430\u043d\u044c","institution_ids":["https://openalex.org/I54195498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"4(50)","first_page":"3","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9984999895095825,"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":0.9984999895095825,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0003000000142492354,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/x-ray-image-classification","display_name":"X-ray image classification","score":0.8489999771118164},{"id":"https://openalex.org/keywords/pneumonia-detection","display_name":"pneumonia detection","score":0.9110000133514404},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8679999709129333},{"id":"https://openalex.org/keywords/mobilenetv2","display_name":"MobileNetV2","score":0.8999999761581421},{"id":"https://openalex.org/keywords/resnet50v2","display_name":"ResNet50V2","score":0.9419999718666077},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.925000011920929},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"contrast enhancement","score":0.8009999990463257},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.5989999771118164},{"id":"https://openalex.org/keywords/veterinary-diagnosis","display_name":"veterinary diagnostics","score":0.5759999752044678},{"id":"https://openalex.org/keywords/remote-area-healthcare","display_name":"remote area healthcare","score":0.550000011920929},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.5979999899864197},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.39399999380111694},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.45399999618530273},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.5559999942779541}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.704181969165802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6625892519950867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213521957397461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189036965370178},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5655817985534668},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4866507947444916},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4603523910045624},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.43373388051986694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4282555878162384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.423976868391037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3998958468437195},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2640078067779541},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25699/sssb.2023.50.4.016","doi":"https://doi.org/10.25699/sssb.2023.50.4.016","is_oa":true,"landing_page_url":"http://doi.org/10.25699/sssb.2023.50.4.016","pdf_url":"http://dx.doi.org/10.25699/sssb.2023.50.4.016","source":{"id":"https://openalex.org/S4210221413","display_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","issn_l":"2304-1943","issn":["2304-1943"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.25699/sssb.2023.50.4.016","doi":"https://doi.org/10.25699/sssb.2023.50.4.016","is_oa":true,"landing_page_url":"http://doi.org/10.25699/sssb.2023.50.4.016","pdf_url":"http://dx.doi.org/10.25699/sssb.2023.50.4.016","source":{"id":"https://openalex.org/S4210221413","display_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","issn_l":"2304-1943","issn":["2304-1943"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u042e\u0436\u043d\u043e-\u0421\u0438\u0431\u0438\u0440\u0441\u043a\u0438\u0439 \u043d\u0430\u0443\u0447\u043d\u044b\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8560000061988831,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386568701.pdf","grobid_xml":"https://content.openalex.org/works/W4386568701.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2788633781","https://openalex.org/W2810619642","https://openalex.org/W3041053927","https://openalex.org/W3201908260","https://openalex.org/W4289262213","https://openalex.org/W4313283913","https://openalex.org/W4379207370"],"related_works":["https://openalex.org/W7165286069","https://openalex.org/W4226507661","https://openalex.org/W3213249853","https://openalex.org/W7055877900","https://openalex.org/W6945810380","https://openalex.org/W7026752152","https://openalex.org/W4404716045","https://openalex.org/W4410448873","https://openalex.org/W3032174773","https://openalex.org/W7168059864"],"abstract_inverted_index":{"\u041f\u0440\u043e\u0431\u043b\u0435\u043c\u0430":[0],"\u0434\u0438\u0430\u0433\u043d\u043e\u0441\u0442\u0438\u043a\u0438":[1],"\u0437\u0430\u0431\u043e\u043b\u0435\u0432\u0430\u043d\u0438\u0439":[2],"\u0441\u0442\u043e\u0438\u0442":[3],"\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e":[4],"\u043e\u0441\u0442\u0440\u043e,":[5],"\u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e":[6],"\u0432":[7,54,100,144,185],"\u0443\u0434\u0430\u043b\u0435\u043d\u043d\u044b\u0445":[8],"\u043e\u0442":[9],"\u043e\u0431\u043b\u0430\u0441\u0442\u043d\u044b\u0445":[10],"\u0438":[11,21,56,85,115,134,136,147,161,205,223],"\u0440\u0430\u0439\u043e\u043d\u043d\u044b\u0445":[12],"\u0446\u0435\u043d\u0442\u0440\u043e\u0432":[13],"\u043d\u0430\u0441\u0435\u043b\u0451\u043d\u043d\u044b\u0445":[14],"\u043f\u0443\u043d\u043a\u0442\u0430\u0445,":[15],"\u0433\u0434\u0435":[16],"\u0447\u0430\u0441\u0442\u043e":[17],"\u043d\u0430\u0431\u043b\u044e\u0434\u0430\u0435\u0442\u0441\u044f":[18],"\u043d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u043a":[19],"\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432":[20],"\u0434\u0438\u0430\u0433\u043d\u043e\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435":[22],"\u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435":[23],"\u0441\u0438\u0441\u0442\u0435\u043c\u044b":[24,37],"\u0432\u043e":[25],"\u043c\u043d\u043e\u0433\u043e\u043c":[26],"\u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b":[27],"\u0440\u0435\u0448\u0438\u0442\u044c":[28],"\u0434\u0430\u043d\u043d\u0443\u044e":[29],"\u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443.":[30],"\u0412":[31,141,231],"\u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435":[32],"\u0432\u0440\u0435\u043c\u044f":[33],"\u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u0442\u0441\u044f":[34],"\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430":[35],"\u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439":[36],"\u0434\u043b\u044f":[38,47,62,105,211],"\u0432\u0435\u0442\u0435\u0440\u0438\u043d\u0430\u0440\u0438\u0438,":[39],"\u043e\u0434\u043d\u0438\u043c":[40],"\u0438\u0437":[41,79,96,216],"\u043c\u043e\u0434\u0443\u043b\u0435\u0439":[42],"\u043a\u043e\u0442\u043e\u0440\u043e\u0439":[43],"\u0431\u0443\u0434\u0435\u0442":[44],"\u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0439":[45],"\u043c\u043e\u0434\u0443\u043b\u044c":[46],"\u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f":[48,63],"\u0440\u0435\u043d\u0442\u0433\u0435\u043d":[49],"\u0441\u043d\u0438\u043c\u043a\u043e\u0432.":[50],"\u0426\u0435\u043b\u044c":[51],"\u0441\u0442\u0430\u0442\u044c\u0438":[52],"\u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f":[53],"\u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438":[55],"\u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0438":[57],"\u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439":[58],"\u0441\u0432\u0435\u0440\u0442\u043e\u0447\u043d\u043e\u0439":[59],"\u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439":[60],"\u0441\u0435\u0442\u0438":[61],"\u0440\u0435\u043d\u0442\u0433\u0435\u043d-\u0441\u043d\u0438\u043c\u043a\u043e\u0432":[64],"\u043d\u0430":[65,139,164],"\u043e\u0441\u043d\u043e\u0432\u0435":[66,165],"\u043e\u0431\u0449\u0435\u0434\u043e\u0441\u0442\u0443\u043f\u043d\u043e\u0433\u043e":[67],"\u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430":[68],"\u0441\u043e":[69],"\u0441\u043d\u0438\u043c\u043a\u0430\u043c\u0438":[70],"\u043f\u043d\u0435\u0432\u043c\u043e\u043d\u0438\u0438.":[71],"\u0411\u044b\u043b\u043e":[72],"\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043e":[73],"\u043f\u043e":[74,190,237],"3":[75,464],"\u043c\u043e\u0434\u0435\u043b\u0438":[76],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438,":[77],"\u0434\u0432\u0435":[78],"\u043a\u043e\u0442\u043e\u0440\u044b\u0445":[80],"-":[81],"\u043f\u0440\u0435\u0434\u043e\u0431\u0443\u0447\u0435\u043d\u043d\u044b\u0435":[82],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442":[83],"MobileNetv2":[84,181,222],"ResNet50v2":[86,224],"\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430":[87],"Tensorflow,":[88],"\u0430":[89],"\u0442\u0440\u0435\u0442\u044c\u044f":[90],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u044c":[91],"\u043e\u0431\u043b\u0430\u0434\u0430\u0435\u0442":[92],"\u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439":[93,214],"\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043e\u0439,":[94],"\u0441\u043e\u0441\u0442\u043e\u044f\u0449\u0435\u0439":[95],"9":[97,217],"\u0441\u043b\u043e\u0435\u0432,":[98],"\u043f\u043e\u0434\u043e\u0431\u0440\u0430\u043d\u043d\u043e\u0439":[99],"\u0440\u0430\u043c\u043a\u0430\u0445":[101],"\u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f.":[102],"\u041d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438":[103],"\u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u044b":[104],"\u0440\u0435\u0448\u0435\u043d\u0438\u044f":[106],"\u0434\u0432\u0443\u0445":[107],"\u0437\u0430\u0434\u0430\u0447":[108],"\u0431\u0438\u043d\u0430\u0440\u043d\u043e\u0439":[109,188],"\u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438:":[110],"\u0431\u043e\u043b\u0435\u043d":[111],"\u0438\u043b\u0438":[112,120],"\u0437\u0434\u043e\u0440\u043e\u0432":[113],"\u043f\u0430\u0446\u0438\u0435\u043d\u0442":[114],"\u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435":[116],"\u043f\u0440\u0438\u0440\u043e\u0434\u044b":[117],"\u043f\u043d\u0435\u0432\u043c\u043e\u043d\u0438\u0438":[118],"(\u0432\u0438\u0440\u0443\u0441\u043d\u0430\u044f":[119],"\u0431\u0430\u043a\u0442\u0435\u0440\u0438\u0430\u043b\u044c\u043d\u0430\u044f).":[121],"\u0422\u0430\u043a\u0436\u0435":[122,195],"\u0431\u044b\u043b\u0438":[123,155],"\u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0435\u043d\u044b":[124],"\u0434\u0432\u0430":[125],"\u043c\u0435\u0442\u043e\u0434\u0430":[126],"\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f":[127,163],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0439":[128,151,221],"(\u043f\u0440\u0435\u0434\u043e\u0431\u0440\u0430\u0431\u043a\u0430":[129],"\u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439":[130,201],"\u043f\u0443\u0442\u0435\u043c":[131],"\u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u044f":[132,203,239],"\u043a\u043e\u043d\u0442\u0440\u0430\u0441\u0442\u0430":[133,204],"\u0430\u043d\u0441\u0430\u043c\u0431\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435)":[135],"\u0438\u0445":[137],"\u0432\u043b\u0438\u044f\u043d\u0438\u0435":[138],"\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c.":[140],"\u043a\u043e\u043d\u0435\u0447\u043d\u043e\u043c":[142],"\u0438\u0442\u043e\u0433\u0435":[143],"\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435":[145],"\u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f":[146],"\u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f":[148],"\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430":[149,170],"\u0440\u0430\u0431\u043e\u0442\u044b":[150,241],"\u043f\u0440\u0438":[152],"\u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445":[153],"\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u0445":[154],"\u0432\u044b\u044f\u0432\u043b\u0435\u043d\u044b":[156],"\u043d\u0430\u0438\u043b\u0443\u0447\u0448\u0438\u0435":[157],"\u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u0438":[158],"\u044d\u0442\u0438\u0445":[159],"\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432":[160],"\u043c\u0435\u0442\u043e\u0434\u043e\u0432":[162],"\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432":[166],"\u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445":[167],"\u043c\u0435\u0442\u0440\u0438\u043a":[168],"\u043e\u0446\u0435\u043d\u043a\u0438":[169],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0439.":[171],"\u0422\u0430\u043a\u0438\u043c":[172],"\u043e\u0431\u0440\u0430\u0437\u043e\u043c":[173],"\u0431\u044b\u043b\u043e":[174,196],"\u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u043e,":[175],"\u0447\u0442\u043e":[176,198],"\u043c\u043e\u0434\u0435\u043b\u044c":[177],"\u0441":[178,192,213],"\u043f\u0440\u0435\u0434\u043e\u0431\u0443\u0447\u0435\u043d\u043d\u043e\u0439":[179],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u044c\u044e":[180],"\u0434\u0430\u0451\u0442":[182],"\u043d\u0430\u0438\u043b\u0443\u0447\u0448\u0438\u0439":[183],"\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442":[184],"\u043e\u0431\u0435\u0438\u0445":[186],"\u0437\u0430\u0434\u0430\u0447\u0430\u0445":[187],"\u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438,":[189],"\u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e":[191],"\u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u043c\u0438":[193],"\u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438.":[194],"\u0432\u044b\u044f\u0432\u043b\u0435\u043d\u043e,":[197],"\u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f":[199],"\u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430":[200],"\u043c\u0435\u0442\u043e\u0434\u043e\u043c":[202],"\u0430\u043d\u0441\u0430\u043c\u0431\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435":[206],"\u0434\u0430\u043b\u043e":[207],"\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435":[208],"\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430":[209],"\u0442\u043e\u043b\u044c\u043a\u043e":[210],"\u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438":[212],"\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043e\u0439":[215],"\u0441\u043b\u043e\u0435\u0432.":[218],"\u0414\u043b\u044f":[219],"\u043f\u0440\u0435\u0434\u043e\u0431\u0443\u0447\u0435\u043d\u043d\u044b\u0445":[220],"\u0434\u0430\u043d\u043d\u044b\u0435":[225],"\u043c\u0435\u0442\u043e\u0434\u044b":[226],"\u043d\u0435":[227],"\u0434\u0430\u043b\u0438":[228],"\u043d\u0438\u043a\u0430\u043a\u043e\u0433\u043e":[229],"\u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f.":[230],"\u0437\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0438":[232],"\u0431\u044b\u043b":[233],"\u043d\u0430\u043c\u0435\u0447\u0435\u043d":[234],"\u0434\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0438\u0439":[235],"\u0432\u0435\u043a\u0442\u043e\u0440":[236],"\u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044e":[238],"\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438":[240],"\u0441\u043e\u0437\u0434\u0430\u043d\u043d\u044b\u0445":[242],"\u043c\u043e\u0434\u0435\u043b\u0435\u0439.":[243],"The":[244,328,356,379],"problem":[245,570],"of":[246,273,314,317,330,362,386,395,405,411,421,433,441,453,463,473,476,490,493,496,510,516,529,533,553,571],"diagnostics":[247],"in":[248,259,293,402,470,526,537],"both":[249],"public":[250],"health":[251],"and":[252,264,275,295,336,367,390,397,407,424,460,478],"veterinary":[253,308],"medicine":[254,309],"is":[255,269,310,333],"quite":[256],"acute,":[257],"especially":[258],"settlements":[260],"remote":[261],"from":[262],"regional":[263],"district":[265],"centers,":[266],"where":[267],"there":[268],"often":[270],"a":[271,287,304,349,384,521],"lack":[272],"specialists":[274,291],"diagnostic":[276],"information":[277],"systems":[278],"are":[279],"largely":[280],"able":[281],"to":[282,334,374,482,549,567],"solve":[283,568],"this":[284],"problem,":[285],"being":[286,311],"consulting":[288],"tool":[289],"for":[290,307,324,343,437,542],"working":[292],"villages":[294],"small":[296],"towns.":[297],"Currently,":[298],"an":[299,321,338,461,507],"expert":[300],"system":[301],"based":[302,347,429],"on":[303,348,383,392,430],"web":[305],"application":[306],"developed,":[312],"one":[313,565],"the":[315,331,368,376,403,409,412,418,431,434,439,449,456,467,471,487,494,501,527,531,534,551,555,569],"modules":[316],"which":[318],"will":[319],"be":[320],"intelligent":[322],"module":[323],"recognizing":[325,344],"x-ray":[326,345],"images.":[327,355,485,518],"purpose":[329],"article":[332],"create":[335],"train":[337],"artificial":[339],"convolutional":[340],"neural":[341,358,413,442,512,562],"network":[342,359,414],"images":[346,371,454],"publicly":[350],"available":[351],"dataset":[352,369],"with":[353,370,415,451],"pneumonia":[354,497],"optimal":[357],"architecture":[360],"consisting":[361],"7":[363],"layers":[364],"was":[365,372,381,446,524],"created,":[366],"preprocessed":[373],"obtain":[375],"best":[377,419,468,502],"result.":[378],"model":[380,450,509,566],"trained":[382],"set":[385],"3897":[387],"x-rays,":[388,399],"validated":[389],"tested":[391],"separate":[393],"sets":[394],"1299":[396],"607":[398],"respectively.":[400],"Ultimately,":[401],"process":[404],"testing":[406],"comparing":[408],"quality":[410,440],"various":[416],"parameters,":[417],"combinations":[420],"these":[422],"parameters":[423],"improvement":[425],"methods":[426],"were":[427,504,540],"identified":[428],"results":[432,503],"main":[435],"metrics":[436],"assessing":[438],"networks.":[443],"Thus,":[444],"it":[445],"found":[447],"that":[448],"pre-processing":[452,515],"by":[455],"contrast":[457],"enhancement":[458],"method":[459],"ensemble":[462,508],"models":[465],"gives":[466],"result":[469],"task":[472,489],"binary":[474,491],"classification":[475,492],"sick":[477],"healthy":[479],"patients":[480],"according":[481],"their":[483],"X-ray":[484,517],"For":[486],"second":[488],"nature":[495],"(viral":[498],"or":[499],"bacterial),":[500],"achieved":[505],"using":[506,543],"2":[511],"networks":[513,563],"without":[514],"In":[519],"conclusion,":[520],"further":[522],"vector":[523],"outlined":[525],"direction":[528],"increasing":[530],"efficiency":[532],"created":[535],"model,":[536,556],"particular,":[538],"options":[539],"proposed":[541],"manual":[544],"data":[545],"preprocessing,":[546],"augmenting":[547],"them":[548],"reduce":[550],"risk":[552],"retraining":[554],"as":[557,559],"well":[558],"connecting":[560],"several":[561],"into":[564],"multiclass":[572],"classification.":[573]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-09-10T00:00:00"}