{"id":"https://openalex.org/W2957851219","doi":"https://doi.org/10.1109/isbi.2019.8759321","title":"Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning","display_name":"Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2957851219","doi":"https://doi.org/10.1109/isbi.2019.8759321","mag":"2957851219"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10016/35380","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042451616","display_name":"Pedro M. Gordaliza","orcid":"https://orcid.org/0000-0001-5305-3104"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. M. Gordaliza","raw_affiliation_strings":["Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088682229","display_name":"J.J. Vaquero","orcid":"https://orcid.org/0000-0001-9200-361X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.J. Vaquero","raw_affiliation_strings":["Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108862866","display_name":"S. Sharpe","orcid":null},"institutions":[{"id":"https://openalex.org/I348769827","display_name":"Public Health England","ror":"https://ror.org/00vbvha87","country_code":"GB","type":"government","lineage":["https://openalex.org/I1311074006","https://openalex.org/I348769827"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Sharpe","raw_affiliation_strings":["Microbiology Services Division, Public Health England, Porton Down, England"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microbiology Services Division, Public Health England, Porton Down, England","institution_ids":["https://openalex.org/I348769827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071189596","display_name":"Fergus Gleeson","orcid":"https://orcid.org/0000-0002-5121-3917"},"institutions":[{"id":"https://openalex.org/I2801179840","display_name":"Churchill Hospital","ror":"https://ror.org/009vheq40","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2801179840","https://openalex.org/I4210147381"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"F. Gleeson","raw_affiliation_strings":["The Churchill Hospital, Headington, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Churchill Hospital, Headington, Oxford, UK","institution_ids":["https://openalex.org/I2801179840"]}]},{"author_position":"last","author":{"id":null,"display_name":"A. Munoz-Barrutia","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Munoz-Barrutia","raw_affiliation_strings":["Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto.Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14345193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.996999979019165,"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":0.996999979019165,"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/T10038","display_name":"Tuberculosis Research and Epidemiology","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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":0.9902999997138977,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6290271878242493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6246589422225952},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5412092208862305},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.4755955636501312},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46454787254333496},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43352121114730835},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4305700659751892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3916606307029724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3549807667732239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33237600326538086},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23209115862846375},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.18791192770004272},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11186766624450684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6290271878242493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246589422225952},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5412092208862305},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.4755955636501312},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46454787254333496},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43352121114730835},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4305700659751892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3916606307029724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3549807667732239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33237600326538086},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23209115862846375},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.18791192770004272},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11186766624450684},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2019.8759321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/35380","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/35380","pdf_url":null,"source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"}],"best_oa_location":{"id":"pmh:oai:e-archivo.uc3m.es:10016/35380","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/35380","pdf_url":null,"source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8799999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1995567168","https://openalex.org/W2574877663","https://openalex.org/W2769279756","https://openalex.org/W2805477380","https://openalex.org/W2805695966","https://openalex.org/W2808110931","https://openalex.org/W2809470868","https://openalex.org/W2962914239","https://openalex.org/W2963677766","https://openalex.org/W3098904667","https://openalex.org/W3100175091","https://openalex.org/W4210627381","https://openalex.org/W6738279954","https://openalex.org/W6746229581","https://openalex.org/W6751779450"],"related_works":["https://openalex.org/W2806061655","https://openalex.org/W1955737261","https://openalex.org/W2775573077","https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2911461202","https://openalex.org/W2765354416","https://openalex.org/W2067569035","https://openalex.org/W1997160662"],"abstract_inverted_index":{"Tuberculosis":[0],"(TB)":[1],"is":[2,27,116],"an":[3],"infectious":[4],"disease":[5],"that":[6,13],"very":[7],"frequently":[8],"damage":[9],"the":[10,33,41,44,72,85,96,131,136,154,163,177],"lungs":[11],"and":[12,18,38,138,158],"has":[14],"a":[15,28,51,120,146],"high":[16],"incidence":[17],"mortality":[19],"rate.":[20],"The":[21,91,114,127],"longitudinal":[22],"assessment":[23],"of":[24,35,43,64,83,151,156],"pulmonary":[25],"affectation":[26],"clear":[29],"need":[30],"to":[31,39,55,102,109,134],"boost":[32],"development":[34],"novel":[36,121],"drugs":[37],"control":[40],"spread":[42],"disease.":[45],"In":[46],"this":[47],"manuscript,":[48],"we":[49],"train":[50],"computational":[52],"model":[53,115,132],"able":[54],"infer":[56],"TB":[57,166],"manifestations":[58],"present":[59],"in":[60,107,153,173],"each":[61],"lung":[62],"lobe":[63],"x-ray":[65],"Computer":[66],"Tomography":[67],"(CT)":[68],"scans":[69],"by":[70,119],"employing":[71],"associated":[73],"radiologist":[74],"reports":[75],"as":[76],"ground":[77],"truth.":[78],"We":[79],"do":[80],"so":[81],"instead":[82],"using":[84],"classical":[86],"manually":[87],"delimited":[88],"segmentation":[89],"masks.":[90],"proposed":[92],"learning":[93],"strategy":[94],"adapts":[95],"V-Net":[97],"model,":[98],"which":[99],"allow":[100],"us":[101],"employ":[103],"full":[104],"3D":[105],"volumes":[106],"order":[108],"obtain":[110],"fine":[111],"grain":[112],"features.":[113],"successfully":[117],"optimized":[118],"loss":[122,128],"function":[123,129],"for":[124,162],"multi-task":[125],"learning.":[126],"employs":[130],"uncertainty":[133],"weight":[135],"regression":[137],"binary":[139],"tasks.":[140],"Our":[141],"results":[142],"are":[143],"promising":[144],"with":[145],"Root":[147],"Mean":[148],"Square":[149],"Error":[150],"1.14":[152],"number":[155],"nodules":[157],"F1-scores":[159],"above":[160],"0.85":[161],"most":[164],"prevalent":[165],"lesions":[167],"(i.e.,":[168],"Conglomerations,":[169],"cavitations,":[170],"consolidations,":[171],"trees":[172],"bud)":[174],"when":[175],"considering":[176],"whole":[178],"lung.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
