{"id":"https://openalex.org/W3115055309","doi":"https://doi.org/10.1109/tencon50793.2020.9293786","title":"Automatic Fetal Head Circumference Measurement in 2D Ultrasound Images Based On Optimized Fast Ellipse Fitting","display_name":"Automatic Fetal Head Circumference Measurement in 2D Ultrasound Images Based On Optimized Fast Ellipse Fitting","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3115055309","doi":"https://doi.org/10.1109/tencon50793.2020.9293786","mag":"3115055309"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5051054942","display_name":"Devi T. Avalokita","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Devi T. Avalokita","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049176317","display_name":"Tessya Rismonita","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tessya Rismonita","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112594087","display_name":"Astri Handayani","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Astri Handayani","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055535297","display_name":"Agung W. Setiawan","orcid":"https://orcid.org/0000-0002-7392-9190"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agung W. Setiawan","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051054942"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66960745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fetal-head","display_name":"Fetal head","score":0.8401311635971069},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.8139435052871704},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6058197617530823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5346516370773315},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.46107152104377747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45352938771247864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45245039463043213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44451698660850525},{"id":"https://openalex.org/keywords/sonographer","display_name":"Sonographer","score":0.43325096368789673},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4174403250217438},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.38139596581459045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34074825048446655},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28056785464286804},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17998924851417542},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1456104815006256},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.13680553436279297}],"concepts":[{"id":"https://openalex.org/C2779811377","wikidata":"https://www.wikidata.org/wiki/Q5445900","display_name":"Fetal head","level":4,"score":0.8401311635971069},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.8139435052871704},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6058197617530823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5346516370773315},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.46107152104377747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45352938771247864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45245039463043213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44451698660850525},{"id":"https://openalex.org/C2778941581","wikidata":"https://www.wikidata.org/wiki/Q11251722","display_name":"Sonographer","level":3,"score":0.43325096368789673},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4174403250217438},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.38139596581459045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34074825048446655},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28056785464286804},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17998924851417542},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1456104815006256},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.13680553436279297},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W10195015","https://openalex.org/W22745672","https://openalex.org/W1523954320","https://openalex.org/W1953654329","https://openalex.org/W1989064337","https://openalex.org/W2009953720","https://openalex.org/W2050629993","https://openalex.org/W2056389986","https://openalex.org/W2068400867","https://openalex.org/W2083229832","https://openalex.org/W2084226224","https://openalex.org/W2089128394","https://openalex.org/W2091664422","https://openalex.org/W2102030038","https://openalex.org/W2111954313","https://openalex.org/W2113003378","https://openalex.org/W2117839624","https://openalex.org/W2119249988","https://openalex.org/W2140427427","https://openalex.org/W2153178980","https://openalex.org/W2164598857","https://openalex.org/W2167551185","https://openalex.org/W2613049942","https://openalex.org/W2888303187","https://openalex.org/W3209564775","https://openalex.org/W4237371814","https://openalex.org/W6600413851","https://openalex.org/W6631261986","https://openalex.org/W6684392942","https://openalex.org/W6684925516"],"related_works":["https://openalex.org/W3047805102","https://openalex.org/W2526371571","https://openalex.org/W4307493836","https://openalex.org/W2160946342","https://openalex.org/W2327602378","https://openalex.org/W2904169708","https://openalex.org/W3217042496","https://openalex.org/W2596321287","https://openalex.org/W2064771172","https://openalex.org/W3080233649"],"abstract_inverted_index":{"Gestational":[0],"age":[1],"(GA)":[2],"monitoring":[3],"from":[4],"fetal":[5,44,49,77,94,118,168,180],"ultrasound":[6,30,139],"imaging":[7],"is":[8,42,52],"one":[9,39],"method":[10,100,193],"to":[11,17,36,54,69,73,105,112,121,131,196,217],"observe":[12],"pre-birth":[13],"risk":[14],"factors":[15],"and":[16,111,137,145,175],"prepare":[18],"early":[19],"treatment":[20],"for":[21],"neonatal":[22],"problems.":[23],"There":[24],"are":[25],"several":[26],"parameters":[27],"in":[28,167,179,200],"an":[29,71,176,207],"image":[31],"that":[32,190],"can":[33],"be":[34,122],"used":[35],"estimate":[37],"GA,":[38],"of":[40,88,102,117,156,161,171,183,209,214,219],"which":[41],"the":[43,76,109,114,125,143,150,191,201,220],"head":[45,95,119],"circumference":[46],"(HC).":[47],"However,":[48],"HC":[50,78,169,181],"measurement":[51],"prone":[53],"error":[55],"since":[56],"it":[57],"relies":[58],"on":[59,80,84,135],"manual":[60],"annotation":[61],"by":[62,124],"sonographer":[63],"or":[64],"obstetrician.":[65],"This":[66],"research":[67],"aims":[68],"design":[70],"algorithm":[72],"automatically":[74],"calculate":[75],"based":[79],"optimized":[81],"ellipse":[82,126,133],"fitting":[83,127,134],"a":[85,165,210],"localized":[86],"region":[87],"interest":[89],"(RoI)":[90],"previously":[91],"defined":[92],"as":[93],"candidate":[96],"area.":[97],"Our":[98],"optimization":[99],"consists":[101],"pre-processing":[103],"steps":[104],"exclude":[106],"noise":[107],"within":[108],"RoI":[110],"select":[113],"optimum":[115],"representation":[116],"pixels":[120],"processed":[123],"algorithm.":[128],"We":[129],"managed":[130],"perform":[132],"699":[136],"141":[138],"images":[140],"representing":[141],"respectively":[142],"second":[144],"third":[146],"trimester":[147],"pregnancies;":[148],"with":[149],"average":[151],"dice":[152],"similarity":[153],"coefficient":[154],"(DSC)":[155],"95.27%\u00b16.25%,":[157],"hausdorff":[158],"distance":[159],"(HD)":[160],"3.51":[162],"mm\u00b15.54":[163],"mm,":[164,174],"difference":[166,178],"(DF)":[170],"-3.42":[172],"mm\u00b113.66":[173],"absolute":[177],"(ADF)":[182],"6.53":[184],"mm\u00b112.5":[185],"mm.":[186],"The":[187],"results":[188,205],"demonstrated":[189],"presented":[192],"performed":[194],"comparably":[195],"other":[197],"systems":[198],"published":[199],"literature.":[202],"Moreover,":[203],"our":[204],"represent":[206],"evaluation":[208],"significantly":[211],"larger":[212],"number":[213],"data":[215],"compared":[216],"most":[218],"previous":[221],"works.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}