{"id":"https://openalex.org/W2047856838","doi":"https://doi.org/10.1109/isbi.2013.6556589","title":"Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters","display_name":"Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2047856838","doi":"https://doi.org/10.1109/isbi.2013.6556589","mag":"2047856838"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5065374358","display_name":"Dong Ni","orcid":"https://orcid.org/0000-0002-9146-6003"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Ni","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","School of Medicine Shenzhen University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Medicine Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101597040","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0003-2983-8395"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","School of Medicine Shenzhen University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Medicine Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429158","display_name":"Shengli Li","orcid":"https://orcid.org/0000-0003-0570-4165"},"institutions":[{"id":"https://openalex.org/I4210104539","display_name":"Shenzhen Maternity and Child Healthcare Hospital","ror":"https://ror.org/01me2d674","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Li","raw_affiliation_strings":["Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, China","Dept. of Ultrasound, Affiliated Shenzhen Maternal & Child Healthcare Hosp. of Nanfang Med. Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, China","institution_ids":["https://openalex.org/I4210104539"]},{"raw_affiliation_string":"Dept. of Ultrasound, Affiliated Shenzhen Maternal & Child Healthcare Hosp. of Nanfang Med. Univ., Shenzhen, China","institution_ids":["https://openalex.org/I4210104539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662807","display_name":"Jing Qin","orcid":"https://orcid.org/0000-0002-7059-0929"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Qin","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102262586","display_name":"Shuyuan Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104539","display_name":"Shenzhen Maternity and Child Healthcare Hospital","ror":"https://ror.org/01me2d674","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Ouyang","raw_affiliation_strings":["Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, China","Dept. of Ultrasound, Affiliated Shenzhen Maternal & Child Healthcare Hosp. of Nanfang Med. Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Nanfang Medical University, China","institution_ids":["https://openalex.org/I4210104539"]},{"raw_affiliation_string":"Dept. of Ultrasound, Affiliated Shenzhen Maternal & Child Healthcare Hosp. of Nanfang Med. Univ., Shenzhen, China","institution_ids":["https://openalex.org/I4210104539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","School of Medicine Shenzhen University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Medicine, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Medicine Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pheng Ann Heng","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5065374358"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.3608,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.83723061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"772","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9860000014305115,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9860000014305115,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9781000018119812,"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/T10862","display_name":"AI in cancer detection","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7689347267150879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225878238677979},{"id":"https://openalex.org/keywords/fetal-head","display_name":"Fetal head","score":0.6894728541374207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5913870334625244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5036556124687195},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.4859274923801422},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.47269394993782043},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4712550938129425},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.41369158029556274},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3730635643005371},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1650303304195404},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.08117803931236267}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7689347267150879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225878238677979},{"id":"https://openalex.org/C2779811377","wikidata":"https://www.wikidata.org/wiki/Q5445900","display_name":"Fetal head","level":4,"score":0.6894728541374207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5913870334625244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5036556124687195},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.4859274923801422},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.47269394993782043},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4712550938129425},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.41369158029556274},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3730635643005371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1650303304195404},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.08117803931236267},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1567335130","https://openalex.org/W1992795101","https://openalex.org/W1994529906","https://openalex.org/W2009526473","https://openalex.org/W2009953720","https://openalex.org/W2025333603","https://openalex.org/W2048521493","https://openalex.org/W2054181520","https://openalex.org/W2065154920","https://openalex.org/W2081410396","https://openalex.org/W2103575741","https://openalex.org/W2120023383","https://openalex.org/W2143581454","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2372868647"],"abstract_inverted_index":{"A":[0],"novel":[1],"learning":[2,27],"based":[3,57,89],"automatic":[4,137,166],"method":[5,28],"is":[6,82,92,109,141],"proposed":[7,164],"to":[8,29,44,52,94,111],"detect":[9],"the":[10,14,25,31,39,54,76,79,116,163],"fetal":[11],"head":[12,17,58,77,117],"for":[13,38,125,130],"measurement":[15],"of":[16,75],"circumference":[18],"from":[19,60],"ultrasound":[20,61,101],"images.":[21,62,102],"We":[22],"first":[23,40],"exploit":[24],"AdaBoost":[26],"train":[30],"classifier":[32,126],"on":[33,115,121],"Haar-like":[34],"features":[35],"and":[36,48,71,97,128,138,174],"then,":[37],"time,":[41],"we":[42],"propose":[43],"use":[45],"prior":[46],"knowledge":[47],"online":[49],"imaging":[50],"parameters":[51],"guide":[53],"sliding":[55],"window":[56],"detection":[59,69],"This":[63],"approach":[64],"can":[65,168],"significantly":[66],"improve":[67],"both":[68],"rate":[70],"speed.":[72],"The":[73,145],"boundary":[74],"in":[78,100,177],"localized":[80],"region":[81],"further":[83,148],"detected":[84],"using":[85],"a":[86,172],"local":[87],"phase":[88],"method,":[90],"which":[91],"insensitive":[93],"speckle":[95],"noises":[96],"intensity":[98],"changes":[99],"Finally":[103],"iterative":[104],"randomized":[105],"Hough":[106],"transform":[107],"(IRHT)":[108],"employed":[110],"determine":[112],"an":[113],"ellipse":[114],"contour.":[118],"Experiments":[119],"performed":[120],"675":[122],"images":[123],"(500":[124],"training":[127],"175":[129],"measurement)":[131],"showed":[132],"that":[133,150],"mean-signed":[134],"difference":[135,155],"between":[136,156],"manual":[139],"measurements":[140],"2.86":[142],"mm":[143],"(1.6%).":[144],"statistical":[146],"analysis":[147],"indicated":[149],"there":[151],"was":[152],"no":[153],"significant":[154],"these":[157],"two":[158],"measurements.":[159],"These":[160],"results":[161],"demonstrated":[162],"fully":[165],"framework":[167],"be":[169],"used":[170],"as":[171],"consistent":[173],"accurate":[175],"tool":[176],"clinical":[178],"practice.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}