{"id":"https://openalex.org/W4312343900","doi":"https://doi.org/10.1109/icmlc56445.2022.9941324","title":"Measurement of Cardiothoracic Ratio and Detection of Cardiomegaly in X-Ray Images Using Deep Learning","display_name":"Measurement of Cardiothoracic Ratio and Detection of Cardiomegaly in X-Ray Images Using Deep Learning","publication_year":2022,"publication_date":"2022-09-09","ids":{"openalex":"https://openalex.org/W4312343900","doi":"https://doi.org/10.1109/icmlc56445.2022.9941324"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc56445.2022.9941324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc56445.2022.9941324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5059242965","display_name":"Yan-Qin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yanqin Xie","raw_affiliation_strings":["University of Fukui,Graduate School of Engineering,Japan","Graduate School of Engineering, University of Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"University of Fukui,Graduate School of Engineering,Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004948441","display_name":"Kouki Nagamune","orcid":"https://orcid.org/0000-0002-9744-8033"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouki Nagamune","raw_affiliation_strings":["University of Fukui,Graduate School of Engineering,Japan","Graduate School of Engineering, University of Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"University of Fukui,Graduate School of Engineering,Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059242965"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":0.4323,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62570715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"270"},"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":0.9983000159263611,"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":0.9983000159263611,"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":0.9927999973297119,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5663682222366333},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5252534747123718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211365222930908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062548518180847},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3473861813545227},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3417537212371826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33714067935943604}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5663682222366333},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5252534747123718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211365222930908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062548518180847},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3473861813545227},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3417537212371826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33714067935943604},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc56445.2022.9941324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc56445.2022.9941324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2173380672","https://openalex.org/W2565639579","https://openalex.org/W2611650229","https://openalex.org/W2884436604","https://openalex.org/W2895926594","https://openalex.org/W2978614092","https://openalex.org/W3101156210","https://openalex.org/W6639824700","https://openalex.org/W6768907650"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"the":[3,45,50,60,69,76,85],"cardiothoracic":[4,41,46,71],"ratio":[5,47,72],"is":[6],"automatically":[7],"measured":[8,48],"by":[9,49,63],"extracting":[10],"lung":[11],"and":[12,20,87],"heart":[13],"regions":[14],"in":[15,84],"a":[16,28,54,64,67,81],"chest":[17],"X-ray":[18],"image":[19],"measuring":[21],"their":[22],"widths.":[23],"The":[24,38],"proposed":[25,51,77],"method":[26,52,78],"uses":[27],"deep":[29],"learning":[30],"model":[31],"based":[32],"on":[33],"U-Net++":[34],"with":[35,59],"VGG19_bn":[36],"encoders.":[37],"results":[39],"of":[40,57,89],"enlargement":[42],"detection":[43],"using":[44,75],"showed":[53],"high":[55],"degree":[56],"agreement":[58],"judgment":[61],"made":[62],"physician.":[65],"As":[66],"result,":[68],"automatic":[70],"measurement":[73],"system":[74],"contributes":[79],"to":[80],"significant":[82],"reduction":[83],"time":[86],"labor":[88],"physicians.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}