{"id":"https://openalex.org/W3096589753","doi":"https://doi.org/10.1109/access.2020.3034367","title":"Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation","display_name":"Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3096589753","doi":"https://doi.org/10.1109/access.2020.3034367","mag":"3096589753"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3034367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09241786.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09241786.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082623277","display_name":"Siti Nurmaini","orcid":"https://orcid.org/0000-0002-8024-2952"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Siti Nurmaini","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-8024-2952","affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059685921","display_name":"Muhammad Naufal Rachmatullah","orcid":"https://orcid.org/0000-0003-3553-3475"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Naufal Rachmatullah","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-3553-3475","affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050287425","display_name":"Ade Iriani Sapitri","orcid":"https://orcid.org/0000-0003-4796-1901"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ade Iriani Sapitri","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056918819","display_name":"Annisa Darmawahyuni","orcid":"https://orcid.org/0000-0002-0229-5717"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Annisa Darmawahyuni","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-0229-5717","affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009506544","display_name":"Adithia Jovandy","orcid":null},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Adithia Jovandy","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359437","display_name":"Firdaus Firdaus","orcid":null},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Firdaus Firdaus","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-2791-3486","affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057982368","display_name":"Bambang Tutuko","orcid":"https://orcid.org/0000-0002-2051-8988"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bambang Tutuko","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-2051-8988","affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088567318","display_name":"Rossi Passarella","orcid":"https://orcid.org/0000-0002-7243-0451"},"institutions":[{"id":"https://openalex.org/I271888150","display_name":"Sriwijaya University","ror":"https://ror.org/030bmb197","country_code":"ID","type":"education","lineage":["https://openalex.org/I271888150"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rossi Passarella","raw_affiliation_strings":["Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia","institution_ids":["https://openalex.org/I271888150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I271888150"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.6267,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.9820905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"196160","last_page":"196174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9458000063896179,"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/segmentation","display_name":"Segmentation","score":0.8009237051010132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6697133779525757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516257524490356},{"id":"https://openalex.org/keywords/ventricle","display_name":"Ventricle","score":0.5629194974899292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4980037212371826},{"id":"https://openalex.org/keywords/aorta","display_name":"Aorta","score":0.45332473516464233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4441574215888977},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43966910243034363},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4152883291244507},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.29681727290153503},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.23217156529426575}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8009237051010132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6697133779525757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516257524490356},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.5629194974899292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4980037212371826},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.45332473516464233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4441574215888977},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43966910243034363},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4152883291244507},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29681727290153503},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.23217156529426575}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3034367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09241786.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4f223e337f70452eabb0de11fd8f7468","is_oa":true,"landing_page_url":"https://doaj.org/article/4f223e337f70452eabb0de11fd8f7468","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 196160-196174 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3034367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034367","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09241786.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096589753.pdf","grobid_xml":"https://content.openalex.org/works/W3096589753.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W102532925","https://openalex.org/W1565147430","https://openalex.org/W1991370230","https://openalex.org/W2043054276","https://openalex.org/W2172120905","https://openalex.org/W2290549208","https://openalex.org/W2495930550","https://openalex.org/W2522083379","https://openalex.org/W2543804650","https://openalex.org/W2555486686","https://openalex.org/W2595040062","https://openalex.org/W2640545234","https://openalex.org/W2735582614","https://openalex.org/W2741015411","https://openalex.org/W2750736663","https://openalex.org/W2755397839","https://openalex.org/W2755513326","https://openalex.org/W2763160469","https://openalex.org/W2774975262","https://openalex.org/W2783820472","https://openalex.org/W2789774783","https://openalex.org/W2799093543","https://openalex.org/W2805601383","https://openalex.org/W2892284287","https://openalex.org/W2894049115","https://openalex.org/W2897666251","https://openalex.org/W2898050043","https://openalex.org/W2898666208","https://openalex.org/W2912420051","https://openalex.org/W2913559493","https://openalex.org/W2924883669","https://openalex.org/W2948730236","https://openalex.org/W2955949265","https://openalex.org/W2963549962","https://openalex.org/W2963668841","https://openalex.org/W2967270931","https://openalex.org/W2974289453","https://openalex.org/W2999570143","https://openalex.org/W3000662942","https://openalex.org/W3002705197","https://openalex.org/W3017384089","https://openalex.org/W3035649997","https://openalex.org/W3090183469","https://openalex.org/W4235435424","https://openalex.org/W4247210059","https://openalex.org/W6604112853","https://openalex.org/W6765356798","https://openalex.org/W6767257839","https://openalex.org/W6776019807","https://openalex.org/W6967010625"],"related_works":["https://openalex.org/W2402911890","https://openalex.org/W2353214236","https://openalex.org/W2412248164","https://openalex.org/W3025229005","https://openalex.org/W2393441460","https://openalex.org/W2393721403","https://openalex.org/W2418850124","https://openalex.org/W3187388830","https://openalex.org/W2316454727","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"screening":[1,311],"for":[2,7,125,148,210,215,220,225,231,239,261,268,312],"septal":[3,126,178,284],"defects":[4,106,179,287],"is":[5,117,263],"important":[6],"supporting":[8],"radiologists'":[9],"interpretative":[10],"work.":[11],"Some":[12],"previous":[13],"studies":[14],"have":[15],"proposed":[16,195,278],"semantic":[17,42,251],"segmentation":[18,43],"and":[19,70,99,104,142,180,229,248,252,266,274],"object":[20,163],"detection":[21,128,164,203,242,282],"approaches":[22],"to":[23,94,102,161,305],"carry":[24],"out":[25],"fetal":[26,58,96,157,313],"heart":[27,59,108,158,206,315],"detection;":[28],"unfortunately,":[29],"the":[30,38,52,57,66,82,118,154,176,192,194,205,211,216,221,226,232,240,246,259,289,298,309],"models":[31],"could":[32],"not":[33],"segment":[34,105],"different":[35],"objects":[36,50],"of":[37,79,134,153,204,243,283],"same":[39,53],"class.":[40,54],"The":[41,132,255],"method":[44],"segregates":[45],"regions":[46],"that":[47,258,272,297],"only":[48],"contain":[49,61],"from":[51],"In":[55],"contrast,":[56],"may":[60],"multiple":[62,111],"objects,":[63],"such":[64,166],"as":[65,139,167,183],"atria,":[67,290],"ventricles,":[68,291],"valves,":[69],"aorta.":[71,233],"Besides,":[72],"blurry":[73],"boundaries":[74],"(shadows)":[75],"or":[76,292],"a":[77,122,140,143,172,184,302],"lack":[78],"consistency":[80],"in":[81,107,191,201,245,288],"acquisition":[83],"ultrasonography":[84,97],"can":[85],"cause":[86],"wide":[87],"variations.":[88],"This":[89],"study":[90,120],"utilizes":[91],"Mask-RCNN":[92],"(MRCNN)":[93],"handle":[95],"images":[98,159],"employ":[100],"it":[101],"detect":[103],"walls":[109],"with":[110,137,208,276],"objects.":[112],"To":[113],"our":[114,277],"knowledge,":[115],"this":[116],"first":[119],"involving":[121],"medical":[123],"application":[124],"defect":[127,241],"using":[129],"instance":[130,253],"segmentation.":[131,254],"use":[133],"MRCNN":[135,196,262],"architecture":[136],"ResNet50":[138],"backbone":[141],"0.0001":[144],"learning":[145],"rate":[146],"allows":[147],"two":[149],"times":[150],"faster":[151],"training":[152],"model":[155,197,279,299],"on":[156],"compared":[160],"other":[162],"methods,":[165],"Faster-RCNN":[168],"(FRCNN).":[169],"We":[170,234,270],"demonstrate":[171],"strong":[173],"correlation":[174],"between":[175],"predicted":[177],"ground":[181],"truth":[182],"mean":[185],"average":[186],"precision":[187],"(mAP).":[188],"As":[189],"shown":[190],"results,":[193],"achieves":[198],"good":[199],"performance":[200],"multiclass":[202],"chamber,":[207],"97.59%":[209],"right":[212,227],"atrium,":[213,218],"99.67%":[214],"left":[217,222],"86.17%":[219],"ventricle,":[223,228],"98.83%":[224],"99.97%":[230],"also":[235],"report":[236],"competitive":[237],"results":[238,256,295],"holes":[244],"atria":[247],"ventricles":[249],"via":[250],"show":[257],"mAP":[260],"about":[264],"99.48%":[265],"82%":[267],"FRCNN.":[269],"suggest":[271,296],"evaluation":[273],"prediction":[275],"provide":[280],"reliable":[281],"defects,":[285],"including":[286],"both.":[293],"These":[294],"used":[300],"has":[301],"high":[303],"potential":[304],"help":[306],"cardiologists":[307],"complete":[308],"initial":[310],"congenital":[314],"disease.":[316]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
