{"id":"https://openalex.org/W4210904124","doi":"https://doi.org/10.1145/3492323.3495568","title":"A new pulmonary disease diagnosis system based on EfficientNet and transfer learning","display_name":"A new pulmonary disease diagnosis system based on EfficientNet and transfer learning","publication_year":2021,"publication_date":"2021-12-06","ids":{"openalex":"https://openalex.org/W4210904124","doi":"https://doi.org/10.1145/3492323.3495568"},"language":"en","primary_location":{"id":"doi:10.1145/3492323.3495568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492323.3495568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion","raw_type":"proceedings-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/A5028974886","display_name":"Siyuan Lu","orcid":"https://orcid.org/0000-0001-6720-1323"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Siyuan Lu","raw_affiliation_strings":["University of Leicester, Leicester UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leicester, Leicester UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327390","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0001-9769-2856"},"institutions":[{"id":"https://openalex.org/I4210088110","display_name":"The Fourth People's Hospital","ror":"https://ror.org/001v2ey71","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088110"]},{"id":"https://openalex.org/I4210139928","display_name":"Huai'an City Fourth People's Hospital","ror":"https://ror.org/041bkd737","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210139928"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["The Fourth People's Hospital of Huai'an, Huai'an Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Fourth People's Hospital of Huai'an, Huai'an Jiangsu China","institution_ids":["https://openalex.org/I4210139928","https://openalex.org/I4210088110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434437","display_name":"Yudong Zhang","orcid":"https://orcid.org/0000-0002-4870-1493"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-Dong Zhang","raw_affiliation_strings":["University of Leicester, Leicester UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leicester, Leicester UK","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1407,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53155504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9750000238418579,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pulmonary-tuberculosis","display_name":"Pulmonary tuberculosis","score":0.8032147884368896},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7565889358520508},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6758943200111389},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6687915325164795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5626853108406067},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.49123114347457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46729376912117004},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4634058475494385},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.4265231490135193},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3802167475223541},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.28121280670166016},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2042158842086792}],"concepts":[{"id":"https://openalex.org/C2908628106","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Pulmonary tuberculosis","level":3,"score":0.8032147884368896},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7565889358520508},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6758943200111389},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6687915325164795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626853108406067},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.49123114347457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46729376912117004},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4634058475494385},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.4265231490135193},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3802167475223541},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.28121280670166016},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2042158842086792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3492323.3495568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492323.3495568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2774788879","https://openalex.org/W2806699389","https://openalex.org/W2834237488","https://openalex.org/W2915632263","https://openalex.org/W2920867559","https://openalex.org/W2963163009","https://openalex.org/W2980965120","https://openalex.org/W3005879071","https://openalex.org/W3013601031","https://openalex.org/W3014361272","https://openalex.org/W3017855299","https://openalex.org/W3019531985","https://openalex.org/W3024263255","https://openalex.org/W3024801014","https://openalex.org/W6602415781"],"related_works":["https://openalex.org/W2806061655","https://openalex.org/W1955737261","https://openalex.org/W2775573077","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"],"abstract_inverted_index":{"Pulmonary":[0,12],"epidemic":[1,13,38,83,103],"diseases":[2,14,84,104],"are":[3,15],"one":[4],"of":[5,9,35,59,81],"the":[6,48,57,60,66,72,86,114,117,128],"main":[7],"causes":[8],"human":[10,75],"death.":[11],"usually":[16],"highly":[17],"contagious":[18],"because":[19],"they":[20],"can":[21,141],"be":[22],"transmitted":[23],"by":[24],"droplets.":[25],"In":[26],"this":[27],"study,":[28],"we":[29,93],"mainly":[30],"focus":[31],"on":[32,106,130],"two":[33],"types":[34],"common":[36],"pulmonary":[37,82,102],"diseases:":[39],"COVID-19":[40,43,55],"and":[41,62,78,120],"tuberculosis.":[42],"has":[44],"spread":[45],"all":[46],"around":[47],"globe":[49],"since":[50],"December":[51],"2019.":[52],"The":[53],"widespread":[54],"caused":[56],"lockdown":[58],"cities":[61],"economic":[63],"losses.":[64],"On":[65],"other":[67],"hand,":[68],"tuberculosis":[69],"is":[70,85,147],"among":[71],"ten":[73],"highest":[74],"killers.":[76],"Accurate":[77],"rapid":[79],"diagnosis":[80],"primary":[87],"step":[88],"in":[89],"clinical":[90],"treatment.":[91],"Therefore,":[92],"propose":[94],"to":[95,100,126,149],"leverage":[96],"deep":[97],"learning":[98,124],"models":[99],"identify":[101],"based":[105],"chest":[107,132],"computed":[108],"tomography":[109],"(CT)":[110],"images.":[111],"We":[112],"select":[113],"EfficientNet":[115],"as":[116],"backbone":[118],"model":[119,129],"employ":[121],"a":[122],"transfer":[123],"method":[125,140],"train":[127],"our":[131,139],"CT":[133],"dataset.":[134],"Experimental":[135],"results":[136],"reveal":[137],"that":[138],"achieve":[142],"promising":[143],"classification":[144],"performance,":[145],"which":[146],"comparable":[148],"state-of-the-art":[150],"approaches.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}