{"id":"https://openalex.org/W4308702916","doi":"https://doi.org/10.1007/s11042-022-14107-0","title":"Federated learning: a deep learning model based on resnet18 dual path for lung nodule detection","display_name":"Federated learning: a deep learning model based on resnet18 dual path for lung nodule detection","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4308702916","doi":"https://doi.org/10.1007/s11042-022-14107-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-022-14107-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-14107-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100399697","display_name":"Lixin Liu","orcid":"https://orcid.org/0000-0001-6133-4977"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin Liu","raw_affiliation_strings":["Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109297003","display_name":"Kefeng Fan","orcid":"https://orcid.org/0000-0001-6961-6653"},"institutions":[{"id":"https://openalex.org/I4210162213","display_name":"China Electronics Standardization Institute","ror":"https://ror.org/05hxrpj87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210162213","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kefeng Fan","raw_affiliation_strings":["Chinese Electronics Standardization Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Electronics Standardization Institute, Beijing, China","institution_ids":["https://openalex.org/I4210162213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010078900","display_name":"Mengzhen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhen Yang","raw_affiliation_strings":["Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100399697"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":3.7738,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94263762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"82","issue":"11","first_page":"17437","last_page":"17450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9925000071525574,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9925000071525574,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.979200005531311,"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":0.8360087871551514},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7514597177505493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6631120443344116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.580995500087738},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5519987344741821},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5054666996002197},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4836105406284332},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41664111614227295},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1452597677707672},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10607555508613586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08337566256523132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360087871551514},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7514597177505493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6631120443344116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.580995500087738},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5519987344741821},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5054666996002197},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4836105406284332},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41664111614227295},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1452597677707672},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10607555508613586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08337566256523132},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-022-14107-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-14107-0","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1508176280","https://openalex.org/W1536680647","https://openalex.org/W2123685758","https://openalex.org/W2139427956","https://openalex.org/W2157751789","https://openalex.org/W2183182206","https://openalex.org/W2194775991","https://openalex.org/W2424373391","https://openalex.org/W2517292647","https://openalex.org/W2524399695","https://openalex.org/W2530417694","https://openalex.org/W2626997132","https://openalex.org/W2639586488","https://openalex.org/W2747257024","https://openalex.org/W2769848455","https://openalex.org/W2791142503","https://openalex.org/W2889646458","https://openalex.org/W2909268421","https://openalex.org/W2912213068","https://openalex.org/W2912792153","https://openalex.org/W2930921659","https://openalex.org/W2963209930","https://openalex.org/W2963377948","https://openalex.org/W2963777800","https://openalex.org/W2964242896","https://openalex.org/W2971132545","https://openalex.org/W3018894417","https://openalex.org/W3081594741","https://openalex.org/W3082696924","https://openalex.org/W3097439886","https://openalex.org/W3101522362","https://openalex.org/W3114223244","https://openalex.org/W3121913585","https://openalex.org/W3127299377","https://openalex.org/W3157310556","https://openalex.org/W3180864958","https://openalex.org/W3188862756","https://openalex.org/W3199562106","https://openalex.org/W3217549023","https://openalex.org/W4200544295","https://openalex.org/W4205247535","https://openalex.org/W4224262403"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W3099765033"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}