{"id":"https://openalex.org/W2898859377","doi":"https://doi.org/10.1109/embc.2018.8512374","title":"CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning","display_name":"CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898859377","doi":"https://doi.org/10.1109/embc.2018.8512374","mag":"2898859377","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440471"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5070477622","display_name":"Qiwen Que","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qiwen Que","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066811131","display_name":"Ze Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ze Tang","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077837796","display_name":"Ruoshi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ruoshi Wang","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010092389","display_name":"Zeng Zeng","orcid":"https://orcid.org/0000-0002-2405-0323"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zeng Zeng","raw_affiliation_strings":["Agency for Science Technology and Research, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research, Singapore, SG","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739248","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0001-8508-3965"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019412302","display_name":"Matthew Chin Heng Chua","orcid":"https://orcid.org/0000-0002-5200-5079"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Matthew Chua","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090411251","display_name":"Teo Sin Gee","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Teo Sin Gee","raw_affiliation_strings":["Agency for Science Technology and Research, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research, Singapore, SG","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029757365","display_name":"Xulei Yang","orcid":"https://orcid.org/0000-0002-7002-4564"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xulei Yang","raw_affiliation_strings":["Agency for Science Technology and Research, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research, Singapore, SG","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070594442","display_name":"Bharadwaj Veeravalli","orcid":"https://orcid.org/0000-0001-9000-1813"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bharadwaj Veeravalli","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7018,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.93950246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2018","issue":null,"first_page":"612","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9840999841690063,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9840999841690063,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9684000015258789,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9659000039100647,"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/deep-learning","display_name":"Deep learning","score":0.7677803039550781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238326668739319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7224304676055908},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7219551801681519},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5355021953582764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5030750632286072},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4693354666233063},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4536549150943756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4207336902618408}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7677803039550781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238326668739319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7224304676055908},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7219551801681519},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5355021953582764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5030750632286072},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4693354666233063},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4536549150943756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4207336902618408}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006332","descriptor_name":"Cardiomegaly","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006332","descriptor_name":"Cardiomegaly","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006332","descriptor_name":"Cardiomegaly","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8512374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30440471","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440471","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1987736934","https://openalex.org/W2003314808","https://openalex.org/W2026369417","https://openalex.org/W2042179795","https://openalex.org/W2080375799","https://openalex.org/W2092845926","https://openalex.org/W2097117768","https://openalex.org/W2129439677","https://openalex.org/W2137490055","https://openalex.org/W2137541498","https://openalex.org/W2149422196","https://openalex.org/W2160743735","https://openalex.org/W2194775991","https://openalex.org/W2268875920","https://openalex.org/W2332066482","https://openalex.org/W2486873003","https://openalex.org/W2575226059","https://openalex.org/W2611650229","https://openalex.org/W2766295319","https://openalex.org/W2770241596","https://openalex.org/W2963446712","https://openalex.org/W3023763517","https://openalex.org/W3101156210","https://openalex.org/W3104258355","https://openalex.org/W4300485340","https://openalex.org/W6639824700","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6731742386","https://openalex.org/W6745759367","https://openalex.org/W6746693533"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W1997160662","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5],"automated":[6],"procedure":[7],"to":[8,54,77,106],"determine":[9,78],"the":[10,43,47,58,96,120],"presence":[11],"of":[12,36,60,62,98],"cardiomegaly":[13,37,79],"on":[14,19],"chest":[15,39],"X-ray":[16],"image":[17],"based":[18],"deep":[20,27,100],"learning.":[21],"The":[22],"proposed":[23],"algorithm":[24],"CardioXNet":[25],"uses":[26],"learning":[28,101],"methods":[29],"U-NET":[30,41],"and":[31,56,103,117],"cardiothoracic":[32],"ratio":[33,70],"for":[34],"diagnosis":[35],"from":[38,46,80],"X-rays.":[40],"learns":[42],"segmentation":[44,102],"task":[45],"ground":[48],"truth":[49],"data.":[50],"OpenCV":[51],"is":[52,72,87],"used":[53,88],"denoise":[55],"maintain":[57],"precision":[59],"region":[61],"interest":[63],"once":[64],"minor":[65],"errors":[66],"occur.":[67],"Therefore,":[68],"Cardiothoracic":[69],"(CTR)":[71],"calculated":[73],"as":[74,89],"a":[75],"criterion":[76,105],"U-net":[81],"segmentations.":[82],"End-to-end":[83],"Dense-Net":[84],"neural":[85],"network":[86],"baseline.":[90],"This":[91],"study":[92],"has":[93],"shown":[94],"that":[95],"feasibility":[97],"combing":[99],"medical":[104,112],"automatically":[107],"recognize":[108],"heart":[109],"disease":[110],"in":[111],"images":[113],"with":[114,119],"high":[115],"accuracy":[116],"agreement":[118],"clinical":[121],"results.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}