{"id":"https://openalex.org/W4225005315","doi":"https://doi.org/10.1109/isbi52829.2022.9761426","title":"An Efficient Approach for Tuberculosis Diagnosis on Chest X-Ray","display_name":"An Efficient Approach for Tuberculosis Diagnosis on Chest X-Ray","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225005315","doi":"https://doi.org/10.1109/isbi52829.2022.9761426"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761426","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5064956262","display_name":"Hoang Nguyen Ngoc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoang Nguyen Ngoc","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104035939","display_name":"Vu Hoang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vu Hoang","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113663962","display_name":"Trung Bui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121988","display_name":"Film Independent","ror":"https://ror.org/036cy3843","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210121988"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trung H. Bui","raw_affiliation_strings":["Independent Researcher,USA","Independent Researcher, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,USA","institution_ids":["https://openalex.org/I4210121988"]},{"raw_affiliation_string":"Independent Researcher, USA","institution_ids":["https://openalex.org/I4210121988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113987305","display_name":"Steven Q. H. Truong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steven Q. H. Truong","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049017572","display_name":"Thanh Huynh Minh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thanh Huynh Minh","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Duong Nguyen Van","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duong Nguyen Van","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054303620","display_name":"Trang Nguy\u1ec5n Th\u1ecb Minh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trang Nguyen Thi Minh","raw_affiliation_strings":["VinBrain JSC,Vietnam","VinBrain JSC, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinBrain JSC,Vietnam","institution_ids":[]},{"raw_affiliation_string":"VinBrain JSC, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007121840","display_name":"C\u00f4ng Cung V\u0103n","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159248","display_name":"Hanoi Lung Hospital","ror":"https://ror.org/052ay7p78","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210159248"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Cong Cung Van","raw_affiliation_strings":["National Lung Hospital,Vietnam","National Lung Hospital, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lung Hospital,Vietnam","institution_ids":["https://openalex.org/I4210159248"]},{"raw_affiliation_string":"National Lung Hospital, Vietnam","institution_ids":["https://openalex.org/I4210159248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2113,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92300806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9922999739646912,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/tuberculosis","display_name":"Tuberculosis","score":0.6197140216827393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.56691974401474},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.45127031207084656},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4058288037776947},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12941217422485352}],"concepts":[{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.6197140216827393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56691974401474},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.45127031207084656},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4058288037776947},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12941217422485352}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761426","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1901129140","https://openalex.org/W1976863970","https://openalex.org/W2010382953","https://openalex.org/W2108598243","https://openalex.org/W2142514727","https://openalex.org/W2752782242","https://openalex.org/W2798122215","https://openalex.org/W2892219791","https://openalex.org/W2955058313","https://openalex.org/W2982083293","https://openalex.org/W2994749257","https://openalex.org/W3004666248","https://openalex.org/W3011825565","https://openalex.org/W3034922525","https://openalex.org/W3045801508","https://openalex.org/W3107607767","https://openalex.org/W3127751679","https://openalex.org/W3147783603","https://openalex.org/W3159693056","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6743731764","https://openalex.org/W6750469568","https://openalex.org/W6767064347","https://openalex.org/W6786563118","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166"],"abstract_inverted_index":{"Deep":[0],"learning":[1,27],"computer-aided":[2],"detection":[3],"(CAD)":[4],"system":[5],"for":[6,59,101],"diagnosing":[7],"abnormal":[8],"findings":[9],"related":[10],"to":[11,163],"Tuberculosis":[12],"(TB)":[13],"disease":[14],"on":[15,31,141,159,168,183],"chest":[16,61],"X-ray":[17,62],"images":[18,87,92,97],"(CXRs)":[19],"is":[20],"growing":[21],"in":[22,99],"research.":[23],"However,":[24],"the":[25,34,37,102,160,171],"deep":[26],"model\u2019s":[28],"reliability":[29],"depends":[30],"model":[32,133,157,172],"quality,":[33],"generalization,":[35],"and":[36,54,67,88,146,170],"large":[38,48],"dataset.":[39,148],"To":[40],"deal":[41],"with":[42,93,138],"this":[43],"problem,":[44],"we":[45,74],"provide":[46],"a":[47,76],"TB":[49,60,65,85,90,95,114,131,166,185],"dataset,":[50,73],"namely":[51],"VB-TB":[52,143],"Dataset,":[53],"propose":[55],"an":[56,108,153],"efficient":[57,109,154],"approach":[58,110],"diagnosis,":[63],"including":[64,83],"classification":[66,115,132],"area":[68,96,186],"segmentation":[69,103,156,187],"models.":[70],"In":[71],"our":[72,142,184],"obtained":[75,174],"total":[77],"of":[78,123],"246,216":[79],"clean":[80],"labeled":[81],"images,":[82],"228,827":[84],"negative":[86],"17,389":[89],"positive":[91],"2,982":[94],"annotated":[98],"pixel-level":[100],"task.":[104],"This":[105],"study":[106],"presents":[107],"that":[111],"significantly":[112],"improves":[113],"using":[116],"Knowledge":[117],"Distillation":[118],"(KD)":[119],"from":[120],"ensemble":[121],"models":[122,140],"different":[124],"state-of-the-art":[125],"(SOTA)":[126],"convolution":[127],"neural":[128],"networks.":[129],"Our":[130],"achieved":[134],"outstanding":[135],"performance":[136],"compared":[137],"previous":[139],"test":[144],"set":[145],"TBX11K":[147],"We":[149],"also":[150,173],"firstly":[151],"applied":[152],"semantic":[155],"based":[158],"light-weight":[161],"U-Net":[162],"localize":[164],"precisely":[165],"areas":[167],"CXRs,":[169],"impressive":[175],"results":[176],"scored":[177],"by":[178],"Dice":[179],"Similarity":[180],"Coefficient":[181],"(DSC)":[182],"testset.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}