{"id":"https://openalex.org/W4293253987","doi":"https://doi.org/10.1109/civemsa53371.2022.9853695","title":"Covid-19 Lung Segmentation using U-Net CNN based on Computed Tomography Image","display_name":"Covid-19 Lung Segmentation using U-Net CNN based on Computed Tomography Image","publication_year":2022,"publication_date":"2022-06-15","ids":{"openalex":"https://openalex.org/W4293253987","doi":"https://doi.org/10.1109/civemsa53371.2022.9853695"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa53371.2022.9853695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/civemsa53371.2022.9853695","pdf_url":"https://ieeexplore.ieee.org/ielx7/9853638/9853639/09853695.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/9853638/9853639/09853695.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038415241","display_name":"FX Ferdinandus","orcid":"https://orcid.org/0000-0002-0506-9504"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]},{"id":"https://openalex.org/I4210131207","display_name":"Institut Sains dan Teknologi Terpadu Surabaya","ror":"https://ror.org/03jbkky50","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210131207"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Fx Ferdinandus","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Informatics Engineering, Institut Sains dan Teknologi Terpadu Surabaya, Surabaya, Indonesia","Dept. of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Informatics Engineering, Institut Sains dan Teknologi Terpadu Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I4210131207"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152092","display_name":"I Ketut Eddy Purnama","orcid":"https://orcid.org/0000-0002-7438-7880"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"I Ketut Eddy Purnama","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038415241"],"corresponding_institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210131207"],"apc_list":null,"apc_paid":null,"fwci":1.0015,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7425344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976999759674072,"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":0.9937000274658203,"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/segmentation","display_name":"Segmentation","score":0.7768440842628479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7686976194381714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708105742931366},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6891465187072754},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5987876653671265},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5851523280143738},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5299794673919678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.524385392665863},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.47499147057533264},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46824681758880615},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.461791068315506},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4184378981590271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35359275341033936},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1820906400680542},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16211676597595215},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12327951192855835}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7768440842628479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7686976194381714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708105742931366},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6891465187072754},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5987876653671265},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5851523280143738},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5299794673919678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.524385392665863},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.47499147057533264},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46824681758880615},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.461791068315506},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4184378981590271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35359275341033936},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1820906400680542},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16211676597595215},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12327951192855835},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa53371.2022.9853695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/civemsa53371.2022.9853695","pdf_url":"https://ieeexplore.ieee.org/ielx7/9853638/9853639/09853695.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/civemsa53371.2022.9853695","is_oa":true,"landing_page_url":"https://doi.org/10.1109/civemsa53371.2022.9853695","pdf_url":"https://ieeexplore.ieee.org/ielx7/9853638/9853639/09853695.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293253987.pdf","grobid_xml":"https://content.openalex.org/works/W4293253987.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2514173981","https://openalex.org/W2793954249","https://openalex.org/W2810392541","https://openalex.org/W2996102538","https://openalex.org/W3123941068","https://openalex.org/W3181644688"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W4323287533"],"abstract_inverted_index":{"In":[0],"medical":[1,43],"image":[2,29,44],"analysis,":[3],"lung":[4,18,98,106],"segmentation":[5,30,45,53,173],"is":[6,46,68,114,137,164,167],"needed":[7],"as":[8],"an":[9,196],"initial":[10],"step":[11],"in":[12,16,31,42,62,82,170,188],"diagnosing":[13],"various":[14],"diseases":[15],"the":[17,36,57,66,140,172],"area,":[19],"including":[20,94],"Covid-19":[21],"infection.":[22],"Deep":[23,37],"Learning":[24],"has":[25,56,146],"been":[26,147],"used":[27,41,113,161,169],"for":[28,127,133,152,162],"recent":[32],"years.":[33],"One":[34],"of":[35,59,74,88,118,199],"Learning-based":[38],"architectures":[39],"widely":[40],"U-Net":[47,49,109],"CNN.":[48,110],"employs":[50],"a":[51,71,84],"semantic":[52],"approach,":[54,144],"which":[55,145],"benefit":[58],"being":[60],"accurate":[61],"segmenting":[63],"even":[64],"though":[65],"model":[67,136],"trained":[69],"on":[70,91],"limited":[72,156],"quantity":[73],"data.":[75,158],"Our":[76],"work":[77,103],"intends":[78],"to":[79,104,149,186],"assist":[80],"radiologists":[81],"providing":[83],"more":[85],"detailed":[86],"visualization":[87],"COVID-19":[89],"infection":[90,95],"CT":[92],"scans,":[93],"categories":[96],"and":[97,129],"conditions.":[99],"We":[100],"conduct":[101],"preliminary":[102],"segment":[105],"regions":[107],"using":[108,139],"The":[111,135,159,175],"dataset":[112],"relatively":[115],"small,":[116],"consisting":[117],"267":[119],"CT-scan":[120],"images":[121,126,132],"split":[122],"into":[123],"240":[124],"(90%)":[125],"training":[128,157],"27":[130],"(10%)":[131],"testing.":[134],"evaluated":[138],"K-fold":[141],"cross-validation":[142],"(k=10)":[143],"believed":[148],"be":[150],"appropriate":[151],"models":[153],"created":[154],"with":[155,180,195],"metric":[160],"experiments":[163],"Mean-IoU.":[165],"It":[166],"commonly":[168],"evaluating":[171],"processes.":[174],"results":[176],"achieved":[177],"were":[178],"satisfactory,":[179],"Mean-IoU":[181],"scores":[182],"ranging":[183],"from":[184],"90.2%":[185],"95.3%":[187],"each":[189],"test":[190],"phase":[191],"(k1":[192],"\u2013":[193],"k10),":[194],"average":[197],"value":[198],"93.3%.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
