{"id":"https://openalex.org/W2890670621","doi":"https://doi.org/10.1109/aipr.2017.8457976","title":"Categorizating 3D Fetal Ultrasound Image Database in First Trimester Pregnancy based on Mid-Sagittal Plane Assessments","display_name":"Categorizating 3D Fetal Ultrasound Image Database in First Trimester Pregnancy based on Mid-Sagittal Plane Assessments","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2890670621","doi":"https://doi.org/10.1109/aipr.2017.8457976","mag":"2890670621"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2017.8457976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2017.8457976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5054140746","display_name":"Cheung-Wen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I56019348","display_name":"Chia Nan University of Pharmacy and Science","ror":"https://ror.org/02834m470","country_code":"TW","type":"education","lineage":["https://openalex.org/I56019348"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheung-Wen Chang","raw_affiliation_strings":["Information Management, Chia Nan University of Pharmacy & Science"],"affiliations":[{"raw_affiliation_string":"Information Management, Chia Nan University of Pharmacy & Science","institution_ids":["https://openalex.org/I56019348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032889270","display_name":"Shih\u2010Ting Huang","orcid":"https://orcid.org/0000-0001-8261-7079"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Ting Huang","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492566","display_name":"Yu-Han Huang","orcid":"https://orcid.org/0000-0001-5233-4617"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Han Huang","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831891","display_name":"Yung\u2010Nien Sun","orcid":"https://orcid.org/0000-0001-7644-8512"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Nien Sun","raw_affiliation_strings":["Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112750230","display_name":"Pei-Ying Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Ying Tsai","raw_affiliation_strings":["Obstetrics and Gynecology, National Cheng-Kung University Hospital, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Obstetrics and Gynecology, National Cheng-Kung University Hospital, Tainan, Taiwan","institution_ids":["https://openalex.org/I4210158999"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054140746"],"corresponding_institution_ids":["https://openalex.org/I56019348"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22556366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9994999766349792,"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":0.9994999766349792,"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/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9991000294685364,"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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/fetal-head","display_name":"Fetal head","score":0.6567305326461792},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5976395010948181},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5696476101875305},{"id":"https://openalex.org/keywords/sagittal-plane","display_name":"Sagittal plane","score":0.549859881401062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48358458280563354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4701186418533325},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.4697715938091278},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.46173369884490967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4198054373264313},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41229328513145447},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3365388512611389},{"id":"https://openalex.org/keywords/obstetrics","display_name":"Obstetrics","score":0.32046815752983093},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.29820531606674194},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.25340715050697327},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06954130530357361}],"concepts":[{"id":"https://openalex.org/C2779811377","wikidata":"https://www.wikidata.org/wiki/Q5445900","display_name":"Fetal head","level":4,"score":0.6567305326461792},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5976395010948181},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5696476101875305},{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.549859881401062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48358458280563354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4701186418533325},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.4697715938091278},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.46173369884490967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4198054373264313},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41229328513145447},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3365388512611389},{"id":"https://openalex.org/C131872663","wikidata":"https://www.wikidata.org/wiki/Q5284418","display_name":"Obstetrics","level":1,"score":0.32046815752983093},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.29820531606674194},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25340715050697327},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06954130530357361},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2017.8457976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2017.8457976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322933","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W108488372","https://openalex.org/W1221682153","https://openalex.org/W2001408474","https://openalex.org/W2022364995","https://openalex.org/W2050236018","https://openalex.org/W2171787092","https://openalex.org/W2547722133","https://openalex.org/W6604433183","https://openalex.org/W6663172823"],"related_works":["https://openalex.org/W2392518627","https://openalex.org/W2582750939","https://openalex.org/W1972056390","https://openalex.org/W4387260606","https://openalex.org/W4386634026","https://openalex.org/W2992379896","https://openalex.org/W1484776952","https://openalex.org/W2024135178","https://openalex.org/W2147796458","https://openalex.org/W3032500343"],"abstract_inverted_index":{"Mid-Sagittal":[0],"Plane":[1],"(MSP)":[2],"detection":[3,143,196,229],"is":[4,61,73],"crucial":[5],"for":[6,25,69,108,191],"the":[7,15,22,40,48,64,81,122,152,156,161,168,177,180,187,202,206,219,224,243,247,259,266,295],"biometry":[8,31],"assessments":[9],"in":[10,113,120,194,215,282],"ultrasound":[11,43,93],"examinations.":[12],"Screening":[13],"on":[14,47,54,148,227],"correct":[16,162,169],"MSP":[17,51,142,195,228],"has":[18,105,145,197],"been":[19,97,106,146,198],"proven":[20],"as":[21],"key":[23],"condition":[24],"acquiring":[26],"good":[27],"quality":[28],"of":[29,50,126,130,183,189,272],"specified":[30],"measurements.":[32],"In":[33,256],"this":[34],"paper,":[35],"we":[36],"proposed":[37,141],"to":[38,62,75,173,303],"categorize":[39],"3D":[41],"fetal":[42,92,133,135,138,221,248],"volume":[44],"images":[45],"based":[46],"results":[49,203,214],"detection.":[52],"Based":[53],"MSP-detection":[55,82],"results,":[56],"our":[57],"main":[58],"focus":[59],"here":[60],"find":[63],"distinct":[65],"descriptions":[66],"or":[67],"factors":[68,118,193,271,293],"database":[70,123,154],"categorization.":[71],"It":[72,234],"essential":[74],"realize":[76],"how":[77],"robust":[78],"and":[79,137,159,274,286,298,305],"effective":[80],"algorithm":[83,144],"achieves":[84],"with":[85,179,208,242,284],"these":[86,192],"factors.":[87,185,268],"The":[88,116,140,291],"database,":[89],"including":[90],"381":[91],"image":[94,127,207,299],"volumes":[95],"have":[96],"collected":[98,107],"from":[99,151],"141":[100],"different":[101],"normal":[102],"pregnant":[103],"women,":[104],"more":[109,263],"than":[110,265],"three":[111],"years":[112],"NCKU":[114],"Hospital.":[115],"five":[117],"adopted":[119],"categorizing":[121],"include":[124],"levels":[125,129],"blurring,":[128,300],"weak":[131,210,275],"edges,":[132],"adhesion,":[134],"posture":[136,222],"size.":[139],"applied":[147],"268":[149],"cases":[150,178],"whole":[153],"(excluding":[155],"worst":[157],"levels),":[158],"found":[160],"rate":[163,170],"achieving":[164,301],"85.1":[165],"%.":[166],"Then,":[167],"increases":[171],"up":[172,302],"90.0%":[174],"by":[175,238],"using":[176],"best":[181],"conditions":[182],"all":[184],"Furthermore,":[186],"degree":[188],"influence":[190],"discussed.":[199],"At":[200],"first,":[201],"show":[204],"that":[205,246],"highly":[209],"edges":[211,276],"(level":[212],"3)":[213],"poor":[216,220],"detections.":[217],"Secondly,":[218],"makes":[223],"highest":[225],"effects":[226,279],"(with":[230],"32%":[231],"incorrect":[232,288,307],"rate).":[233],"may":[235],"be":[236,253],"caused":[237],"having":[239],"deep":[240],"adhesions":[241],"endometrium":[244],"so":[245],"head":[249],"boundary":[250],"could":[251],"not":[252],"fitted":[254],"well.":[255],"fine-quality":[257],"images,":[258],"adhesion":[260,273],"factor":[261],"reveals":[262],"determinative":[264],"rough-quality":[267],"Thirdly,":[269],"two":[270],"achieved":[277],"similar":[278],"(not":[280],"significant":[281],"statistics),":[283],"23%":[285],"25.7%":[287],"rates,":[289,308],"respectively.":[290,309],"less-influential":[292],"are":[294],"fetus":[296],"size":[297],"14%":[304],"16%":[306]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
