{"id":"https://openalex.org/W4200412483","doi":"https://doi.org/10.1109/iscc53001.2021.9631534","title":"An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods","display_name":"An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W4200412483","doi":"https://doi.org/10.1109/iscc53001.2021.9631534"},"language":"en","primary_location":{"id":"doi:10.1109/iscc53001.2021.9631534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631534","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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":"2021 IEEE Symposium on Computers and Communications (ISCC)","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/A5015757447","display_name":"Jose Anatiel Goncalves Santos Landim","orcid":null},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jose Anatiel Goncalves Santos Landim","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072240451","display_name":"Fl\u00e1vio H. D. Ara\u00fajo","orcid":"https://orcid.org/0000-0003-2824-2645"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavio Henrique Duarte De Araujo","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","Information Systems, Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Information Systems, Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000420932","display_name":"Mano Joseph Mathew","orcid":"https://orcid.org/0000-0002-4930-6903"},"institutions":[{"id":"https://openalex.org/I2801479458","display_name":"Engineering School of Information and Digital Technologies","ror":"https://ror.org/01h7hvj14","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876","https://openalex.org/I2801479458"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mano Joseph Mathew","raw_affiliation_strings":["\u00c9cole ding\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique,Paris,France"],"affiliations":[{"raw_affiliation_string":"\u00c9cole ding\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique,Paris,France","institution_ids":["https://openalex.org/I2801479458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001742603","display_name":"Ant\u00f4nio Oseas de Carvalho Filho","orcid":"https://orcid.org/0000-0001-9241-1277"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio Oseas De Carvalho Filho","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","Information Systems, Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Information Systems, Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015757447"],"corresponding_institution_ids":["https://openalex.org/I3121799822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16261398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9890999794006348,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7464533448219299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6999973654747009},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6895320415496826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6694068312644958},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6275599002838135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5945471525192261},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5868262648582458},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5270455479621887},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.512841522693634},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5005154609680176},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4699084162712097},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.44859328866004944},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4340018630027771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42373281717300415},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.32288265228271484},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3223949372768402},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.26455259323120117},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2250177562236786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17504119873046875},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.167760968208313},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12878119945526123},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.11394968628883362},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09735199809074402}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7464533448219299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6999973654747009},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6895320415496826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6694068312644958},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6275599002838135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5945471525192261},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5868262648582458},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5270455479621887},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.512841522693634},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5005154609680176},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4699084162712097},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.44859328866004944},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4340018630027771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42373281717300415},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32288265228271484},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3223949372768402},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26455259323120117},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2250177562236786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17504119873046875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.167760968208313},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12878119945526123},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.11394968628883362},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09735199809074402},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc53001.2021.9631534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631534","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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":"2021 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03956116v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03956116","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Symposium on Computers and Communications (ISCC), Sep 2021, Athens, Greece. pp.1-6, ⟨10.1109/ISCC53001.2021.9631534⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5483282566","display_name":null,"funder_award_id":"435244/2018-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G6609398216","display_name":null,"funder_award_id":"5492.UNI253.59248.15052018","funder_id":"https://openalex.org/F4320322989","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Piau\u00ed"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322989","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Piau\u00ed","ror":"https://ror.org/026zht694"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1976468890","https://openalex.org/W2022976773","https://openalex.org/W2058333183","https://openalex.org/W2121934633","https://openalex.org/W2527367320","https://openalex.org/W2793954249","https://openalex.org/W2963073614","https://openalex.org/W2979343283","https://openalex.org/W2981981994","https://openalex.org/W3038707046","https://openalex.org/W3039499593","https://openalex.org/W3092736199","https://openalex.org/W3128988357","https://openalex.org/W3148140980","https://openalex.org/W3169711991","https://openalex.org/W3208176997","https://openalex.org/W6780119739"],"related_works":["https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W2046969815","https://openalex.org/W4254054209","https://openalex.org/W4200334192","https://openalex.org/W4289129312","https://openalex.org/W2952835238","https://openalex.org/W2157102420"],"abstract_inverted_index":{"SARS-CoV-2,":[0],"a":[1,49],"disease":[2],"caused":[3],"by":[4],"the":[5,61,65,83,89,94,100],"new":[6],"coron-avirus,":[7],"after":[8],"discovery,":[9],"spread":[10],"rapidly":[11],"to":[12,36,43,76],"several":[13,34],"countries.":[14],"The":[15],"number":[16],"of":[17,80,91],"infected":[18],"people":[19],"exceeds":[20],"176":[21],"million":[22,28],"worldwide,":[23],"and":[24,64,119,140],"more":[25],"than":[26],"3.8":[27],"deaths":[29],"are":[30,33],"recorded.":[31],"There":[32],"ways":[35],"diagnose":[37],"COVID-19,":[38],"ranging":[39],"from":[40],"rapid":[41],"tests":[42],"imaging":[44],"exams.":[45],"This":[46],"article":[47],"proposes":[48],"computational":[50],"methodology":[51],"that":[52],"combines":[53],"two":[54],"Deep":[55],"Learning":[56],"techniques,":[57],"one":[58],"based":[59],"on":[60,67],"U-Net":[62,101],"architecture":[63,102],"other":[66],"Adversarial":[68],"Generating":[69],"Networks":[70],"(GAN),":[71],"with":[72,88],"Computed":[73],"Tomography":[74],"(CT)":[75],"investigate":[77],"suspicious":[78],"regions":[79],"COVID-19.":[81],"After":[82],"false":[84],"positive":[85],"reduction":[86],"step":[87],"application":[90],"morphological":[92],"operations,":[93],"results":[95],"achieved":[96,125],"were":[97],"promising.":[98],"For":[99],"we":[103,124],"reached":[104],"DICE":[105,126],"0.754,":[106],"IoU":[107,128],"0.606,":[108],"Sensitivity":[109,130],"0.825,":[110],"Specificity":[111,132],"0.998,":[112,133],"Accuracy":[113,117,134,138],"0.997,":[114,135],"AUC":[115,136],"0.912,":[116],"0.694":[118],"F-Score":[120,141],"0.754.":[121],"At":[122],"GAN":[123],"0.770,":[127],"0.626,":[129],"0.747,":[131],"0.873,":[137],"0.794":[139],"0.770.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-12-31T00:00:00"}