{"id":"https://openalex.org/W4386362670","doi":"https://doi.org/10.1109/isbi53787.2023.10230500","title":"A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection","display_name":"A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362670","doi":"https://doi.org/10.1109/isbi53787.2023.10230500"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.02140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020437693","display_name":"Daniel Capell\u00e1n-Mart\u00edn","orcid":"https://orcid.org/0000-0002-9743-0845"},"institutions":[{"id":"https://openalex.org/I6585545","display_name":"European Telecommunications Standards Institute","ror":"https://ror.org/00pwny267","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I6585545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniel Capell\u00e1n-Mart\u00edn","raw_affiliation_strings":["Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación","institution_ids":["https://openalex.org/I6585545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061515014","display_name":"Juan J. G\u00f3mez-Valverde","orcid":"https://orcid.org/0000-0002-5073-5908"},"institutions":[{"id":"https://openalex.org/I6585545","display_name":"European Telecommunications Standards Institute","ror":"https://ror.org/00pwny267","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I6585545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Juan J. G\u00f3mez-Valverde","raw_affiliation_strings":["Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación","institution_ids":["https://openalex.org/I6585545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084591920","display_name":"David Bermejo-Pel\u00e1ez","orcid":"https://orcid.org/0000-0002-0181-3957"},"institutions":[{"id":"https://openalex.org/I6585545","display_name":"European Telecommunications Standards Institute","ror":"https://ror.org/00pwny267","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I6585545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Bermejo-Pel\u00e1ez","raw_affiliation_strings":["Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación","institution_ids":["https://openalex.org/I6585545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012910949","display_name":"Mar\u00eda J. Ledesma\u2010Carbayo","orcid":"https://orcid.org/0000-0001-6846-3923"},"institutions":[{"id":"https://openalex.org/I6585545","display_name":"European Telecommunications Standards Institute","ror":"https://ror.org/00pwny267","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I6585545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mar\u00eda J. Ledesma-Carbayo","raw_affiliation_strings":["Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Politécnica de Madrid,Biomedical Image Technologies, ETSI Telecomunicación","institution_ids":["https://openalex.org/I6585545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.851,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91027673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.982200026512146,"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":0.9538999795913696,"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/computer-science","display_name":"Computer science","score":0.6263862252235413},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.5163891911506653},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4498058557510376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38235199451446533},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.37448304891586304},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3106674551963806},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13520821928977966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263862252235413},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.5163891911506653},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4498058557510376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38235199451446533},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37448304891586304},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3106674551963806},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13520821928977966}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2309.02140","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.02140","pdf_url":"https://arxiv.org/pdf/2309.02140","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.02140","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.02140","pdf_url":"https://arxiv.org/pdf/2309.02140","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1944916045","display_name":null,"funder_award_id":"823854","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3345895242","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3477743816","display_name":null,"funder_award_id":"H2020-MSCA-RISE","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320322138","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386362670.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1904878066","https://openalex.org/W2001412060","https://openalex.org/W2310042802","https://openalex.org/W2608231518","https://openalex.org/W2788443790","https://openalex.org/W2794518994","https://openalex.org/W2884561390","https://openalex.org/W2939788146","https://openalex.org/W2990632791","https://openalex.org/W3009705041","https://openalex.org/W3039745624","https://openalex.org/W3084346490","https://openalex.org/W3093354398","https://openalex.org/W3120863491","https://openalex.org/W4226276974","https://openalex.org/W4248452774","https://openalex.org/W4301597213","https://openalex.org/W6639867372","https://openalex.org/W6698500090","https://openalex.org/W6738297899","https://openalex.org/W6782892473"],"related_works":["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","https://openalex.org/W1489783725","https://openalex.org/W2148612803"],"abstract_inverted_index":{"Tuberculosis":[0],"(TB)":[1],"is":[2],"still":[3],"recognized":[4],"as":[5],"one":[6],"of":[7,11,42,55,95,118],"the":[8,114],"leading":[9,37],"causes":[10],"death":[12],"worldwide.":[13],"Recent":[14],"advances":[15],"in":[16,152,159],"deep":[17,81],"learning":[18],"(DL)":[19],"have":[20],"shown":[21],"to":[22,26,38,51,86],"enhance":[23],"radiologists\u2019":[24],"ability":[25],"interpret":[27],"chest":[28],"X-ray":[29],"(CXR)":[30],"images":[31,99],"accurately":[32],"and":[33,66,79,111,121,143],"with":[34,140,162],"fewer":[35],"errors,":[36],"a":[39,75,93,137],"better":[40],"diagnosis":[41],"this":[43,70],"disease.":[44],"However,":[45],"little":[46],"work":[47],"has":[48],"been":[49],"done":[50],"develop":[52],"models":[53],"capable":[54],"diagnosing":[56],"TB":[57,88,164],"that":[58,155],"offer":[59],"good":[60],"performance":[61,134],"while":[62,135],"being":[63],"efficient,":[64],"fast":[65,78],"computationally":[67],"inexpensive.":[68],"In":[69],"work,":[71],"we":[72],"propose":[73],"LightTBNet,":[74],"novel":[76],"lightweight,":[77],"efficient":[80],"convolutional":[82],"network":[83],"specially":[84],"customized":[85],"detect":[87],"from":[89,100],"CXR":[90,98],"images.":[91],"Using":[92],"total":[94],"800":[96],"frontal":[97],"two":[101],"publicly":[102,167],"available":[103,168],"datasets,":[104],"our":[105],"solution":[106],"yielded":[107],"an":[108,125],"accuracy,":[109],"F1":[110],"area":[112],"under":[113],"ROC":[115],"curve":[116],"(AUC)":[117],"0.906,":[119],"0.907":[120],"0.961,":[122],"respectively,":[123],"on":[124],"independent":[126],"test":[127],"subset.":[128],"The":[129],"proposed":[130],"model":[131],"demonstrates":[132],"outstanding":[133],"delivering":[136],"rapid":[138],"prediction,":[139],"minimal":[141],"computational":[142],"memory":[144],"requirements,":[145],"making":[146],"it":[147],"highly":[148],"suitable":[149],"for":[150],"deployment":[151],"handheld":[153],"devices":[154],"can":[156],"be":[157],"used":[158],"low-resource":[160],"areas":[161],"high":[163],"prevalence.":[165],"Code":[166],"at:":[169],"https://github.com/dani-capellan/LightTBNet.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-09-02T00:00:00"}