{"id":"https://openalex.org/W3202596444","doi":"https://doi.org/10.1109/ispa52656.2021.9552078","title":"CoviSegNet - Covid-19 Disease Area Segmentation using Machine Learning Analyses for Lung Imaging","display_name":"CoviSegNet - Covid-19 Disease Area Segmentation using Machine Learning Analyses for Lung Imaging","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3202596444","doi":"https://doi.org/10.1109/ispa52656.2021.9552078","mag":"3202596444"},"language":"en","primary_location":{"id":"doi:10.1109/ispa52656.2021.9552078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa52656.2021.9552078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5060859644","display_name":"Bhuvan Mittal","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bhuvan Mittal","raw_affiliation_strings":["University of North Texas,Department of Computer Science and Engineering,Denton,USA","Department of Computer Science and Engineering, University of North Texas, Denton, USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Department of Computer Science and Engineering,Denton,USA","institution_ids":["https://openalex.org/I123534392"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of North Texas, Denton, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079889465","display_name":"Junghwan Oh","orcid":"https://orcid.org/0000-0002-5837-0958"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JungHwan Oh","raw_affiliation_strings":["University of North Texas,Department of Computer Science and Engineering,Denton,USA","Department of Computer Science and Engineering, University of North Texas, Denton, USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Department of Computer Science and Engineering,Denton,USA","institution_ids":["https://openalex.org/I123534392"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of North Texas, Denton, USA","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060859644"],"corresponding_institution_ids":["https://openalex.org/I123534392"],"apc_list":null,"apc_paid":null,"fwci":0.2772,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57757783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"11045","issue":null,"first_page":"54","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9898999929428101,"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":0.7643269300460815},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.5793799161911011},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.5792232751846313},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5509957671165466},{"id":"https://openalex.org/keywords/ground-glass-opacity","display_name":"Ground-glass opacity","score":0.5174158811569214},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.49145376682281494},{"id":"https://openalex.org/keywords/lung-disease","display_name":"Lung disease","score":0.47367292642593384},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4726119339466095},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4545799791812897},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.43200206756591797},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4292515516281128},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.3702709972858429},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.27488845586776733},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1760411560535431},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.11932462453842163}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7643269300460815},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.5793799161911011},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.5792232751846313},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5509957671165466},{"id":"https://openalex.org/C2777001051","wikidata":"https://www.wikidata.org/wiki/Q3150728","display_name":"Ground-glass opacity","level":4,"score":0.5174158811569214},{"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":0.49145376682281494},{"id":"https://openalex.org/C2983914783","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Lung disease","level":3,"score":0.47367292642593384},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4726119339466095},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4545799791812897},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.43200206756591797},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4292515516281128},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.3702709972858429},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.27488845586776733},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1760411560535431},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.11932462453842163},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispa52656.2021.9552078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa52656.2021.9552078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},{"id":"pmh:info:ark/67531/metadc1927904","is_oa":false,"landing_page_url":"https://digital.library.unt.edu/ark:/67531/metadc1927904/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400792","display_name":"University of North Texas Digital Library (University of North Texas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123534392","host_organization_name":"University of North Texas","host_organization_lineage":["https://openalex.org/I123534392"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"12th International Symposium on Image and Signal Processing and Analysis (ISPA), September 13-15, 2021. Zagreb, Croatia","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8399999737739563,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2102634410","https://openalex.org/W2793444752","https://openalex.org/W2884436604","https://openalex.org/W2907386579","https://openalex.org/W2963446712","https://openalex.org/W3006082171","https://openalex.org/W3012211282","https://openalex.org/W3013564598","https://openalex.org/W3014725478","https://openalex.org/W3027763298","https://openalex.org/W3040784645","https://openalex.org/W3040989605","https://openalex.org/W3042519501","https://openalex.org/W3045802155","https://openalex.org/W3049688808","https://openalex.org/W3087434656","https://openalex.org/W3092248525","https://openalex.org/W3092624683","https://openalex.org/W3095044166","https://openalex.org/W3096578570","https://openalex.org/W3100555247","https://openalex.org/W3104810384","https://openalex.org/W3119527628","https://openalex.org/W3121891683","https://openalex.org/W3136933888","https://openalex.org/W3144061366","https://openalex.org/W3153388040","https://openalex.org/W3174022076","https://openalex.org/W6753182481"],"related_works":["https://openalex.org/W4394761728","https://openalex.org/W1975091423","https://openalex.org/W2144451503","https://openalex.org/W2033023095","https://openalex.org/W125325933","https://openalex.org/W2941176721","https://openalex.org/W2051773733","https://openalex.org/W3015660457","https://openalex.org/W2909333182","https://openalex.org/W4241993668"],"abstract_inverted_index":{"The":[0,140,151],"Covid-19":[1,37,68],"is":[2,93,159],"a":[3],"highly":[4,160],"contagious":[5],"and":[6,26,75,91,103,114,121,138],"virulent":[7],"disease":[8,38,96,112,118],"caused":[9],"by":[10],"the":[11,57,84,87,156],"Severe":[12],"Acute":[13],"Respiratory":[14],"Syndrome":[15],"-":[16,19],"Corona":[17],"Virus":[18],"2":[20],"(SARS-CoV-2).":[21],"Over":[22],"175":[23],"million":[24,28],"cases":[25],"3.8":[27],"deaths":[29],"were":[30],"reported":[31,82],"worldwide":[32],"as":[33,49],"of":[34,67,86,100,142],"June":[35],"2021.":[36],"induces":[39],"lung":[40,44,88],"changes":[41],"observed":[42],"in":[43,56,62,105,117],"Computerized":[45],"Tomography":[46],"(CT)":[47],"predominantly":[48],"ground-glass":[50,101,136],"opacification":[51],"(GGO)":[52],"with":[53],"occasional":[54],"consolidation":[55,92],"peripheries.":[58],"It":[59],"was":[60,81,144],"revealed":[61],"some":[63],"literature":[64],"that":[65,83,155],"88%":[66],"positive":[69],"patients'":[70],"CT":[71,106,149],"scans":[72],"showed":[73,77],"GGO":[74],"32%":[76],"consolidation.":[78],"Moreover,":[79],"it":[80],"percentage":[85],"showing":[89],"GGO,":[90],"tied":[94],"to":[95,110,133],"severity.":[97],"Thus,":[98],"segmentation":[99],"opacities":[102,137],"consolidations":[104],"images":[107],"will":[108],"help":[109],"quantify":[111],"severity":[113],"assist":[115],"physicians":[116],"triage,":[119],"management,":[120],"prognosis.":[122],"In":[123],"this":[124],"paper,":[125],"we":[126],"propose":[127],"CoviSegNet,":[128],"an":[129],"enhanced":[130],"U-Net":[131],"model":[132],"segment":[134],"these":[135],"consolidations.":[139],"performance":[141],"CoviSegNet":[143,158],"evaluated":[145],"on":[146],"three":[147],"public":[148],"datasets.":[150],"experimental":[152],"results":[153],"show":[154],"proposed":[157],"promising.":[161]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2021-10-11T00:00:00"}