{"id":"https://openalex.org/W4213198481","doi":"https://doi.org/10.1117/12.2610770","title":"Segmentation and classification of total hip endoprosthesis in x-ray images","display_name":"Segmentation and classification of total hip endoprosthesis in x-ray images","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4213198481","doi":"https://doi.org/10.1117/12.2610770"},"language":"en","primary_location":{"id":"doi:10.1117/12.2610770","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2610770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","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/A5085434938","display_name":"Hannah B\u00fcchner","orcid":null},"institutions":[{"id":"https://openalex.org/I57589565","display_name":"Reutlingen University","ror":"https://ror.org/00q644y50","country_code":"DE","type":"education","lineage":["https://openalex.org/I57589565"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hannah B\u00fcchner","raw_affiliation_strings":["Reutlingen Univ. (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reutlingen Univ. (Germany)","institution_ids":["https://openalex.org/I57589565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113983918","display_name":"Maximilian Malik","orcid":null},"institutions":[{"id":"https://openalex.org/I57589565","display_name":"Reutlingen University","ror":"https://ror.org/00q644y50","country_code":"DE","type":"education","lineage":["https://openalex.org/I57589565"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Malik","raw_affiliation_strings":["Reutlingen Univ. (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reutlingen Univ. (Germany)","institution_ids":["https://openalex.org/I57589565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090721773","display_name":"Heiko Baumgartner","orcid":"https://orcid.org/0000-0003-1092-6918"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Baumgartner","raw_affiliation_strings":["Eberhard Karls Univ. T\u00fcbingen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eberhard Karls Univ. T\u00fcbingen (Germany)","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107969717","display_name":"Fabian Springer","orcid":"https://orcid.org/0000-0002-0855-8151"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Springer","raw_affiliation_strings":["Eberhard Karls Univ. T\u00fcbingen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eberhard Karls Univ. T\u00fcbingen (Germany)","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062845501","display_name":"Florian Laux","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Laux","raw_affiliation_strings":["Eberhard Karls Univ. T\u00fcbingen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eberhard Karls Univ. T\u00fcbingen (Germany)","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023657696","display_name":"Oliver Burgert","orcid":"https://orcid.org/0000-0001-7118-4730"},"institutions":[{"id":"https://openalex.org/I57589565","display_name":"Reutlingen University","ror":"https://ror.org/00q644y50","country_code":"DE","type":"education","lineage":["https://openalex.org/I57589565"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Burgert","raw_affiliation_strings":["Reutlingen Univ. (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reutlingen Univ. (Germany)","institution_ids":["https://openalex.org/I57589565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02736986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"59","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10512","display_name":"Orthopaedic implants and arthroplasty","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10512","display_name":"Orthopaedic implants and arthroplasty","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.98089998960495,"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/ground-truth","display_name":"Ground truth","score":0.7907348871231079},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7573813796043396},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7009332180023193},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6786317229270935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639947235584259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6157925128936768},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6145435571670532},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5161134004592896},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4824557900428772},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45631158351898193},{"id":"https://openalex.org/keywords/orthopedic-surgery","display_name":"Orthopedic surgery","score":0.4473619759082794},{"id":"https://openalex.org/keywords/total-hip-arthroplasty","display_name":"Total hip arthroplasty","score":0.4451436698436737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43414780497550964},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37658798694610596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23251500725746155},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2048882246017456},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.1615515649318695}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7907348871231079},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7573813796043396},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7009332180023193},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6786317229270935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639947235584259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6157925128936768},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6145435571670532},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5161134004592896},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4824557900428772},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45631158351898193},{"id":"https://openalex.org/C68312169","wikidata":"https://www.wikidata.org/wiki/Q216685","display_name":"Orthopedic surgery","level":2,"score":0.4473619759082794},{"id":"https://openalex.org/C3019025420","wikidata":"https://www.wikidata.org/wiki/Q32333487","display_name":"Total hip arthroplasty","level":2,"score":0.4451436698436737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43414780497550964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37658798694610596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23251500725746155},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2048882246017456},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.1615515649318695},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2610770","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2610770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.reutlingen-university.de:3631","is_oa":false,"landing_page_url":"https://publikationen.reutlingen-university.de/frontdoor/index/index/docId/3631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400499","display_name":"Reutlingen University Academic Bibliography (Reutlingen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57589565","host_organization_name":"Reutlingen University","host_organization_lineage":["https://openalex.org/I57589565"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1968159524","https://openalex.org/W2107225432","https://openalex.org/W2134948318","https://openalex.org/W2210337079","https://openalex.org/W2408215786","https://openalex.org/W2592929672","https://openalex.org/W2604759322","https://openalex.org/W2786472707","https://openalex.org/W2890318547","https://openalex.org/W2894016974","https://openalex.org/W2911168329","https://openalex.org/W2913015628","https://openalex.org/W2959940977","https://openalex.org/W4251622110","https://openalex.org/W6683586600","https://openalex.org/W6758419059"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2511564624","https://openalex.org/W2090985514","https://openalex.org/W2201963833","https://openalex.org/W3099299772","https://openalex.org/W4211128696","https://openalex.org/W3029075321"],"abstract_inverted_index":{"Motivation:":[0],"Aim":[1],"of":[2,9,21,61,89,128,182],"this":[3],"project":[4],"is":[5,56],"the":[6,43,50,62,133,170],"automatic":[7],"classification":[8,101],"total":[10,22],"hip":[11,23],"endoprosthesis":[12],"(THEP)":[13],"components":[14],"in":[15,29,42],"2D":[16],"Xray":[17],"images.":[18],"Revision":[19],"surgeries":[20],"arthroplasty":[24],"(THA)":[25],"are":[26,40,66],"common":[27],"procedures":[28,37],"orthopedics":[30],"and":[31,99,116,185],"trauma":[32],"surgery.":[33],"Currently,":[34],"around":[35],"400.000":[36],"per":[38,188],"year":[39],"performed":[41,93,103,137,154,167],"United":[44],"States":[45],"(US)":[46],"alone.":[47],"To":[48],"achieve":[49],"best":[51,141],"possible":[52],"result,":[53],"preoperative":[54],"planning":[55],"crucial.":[57],"Especially":[58],"if":[59],"parts":[60],"current":[63],"THEP":[64],"system":[65],"to":[67,174,177],"be":[68,120,175],"retained.":[69],"Methods:":[70],"First,":[71],"a":[72,90,95,100,105,147,179],"ground":[73,124,171],"truth":[74,125,172],"based":[75],"on":[76],"76":[77],"X-ray":[78],"images":[79],"was":[80,127,136],"created:":[81],"We":[82],"used":[83],"an":[84],"image":[85,164],"processing":[86,165],"pipeline":[87,166],"consisting":[88],"segmentation":[91,135,142],"step":[92,102],"by":[94,104,138],"convolutional":[96],"neural":[97,159],"network":[98],"support":[106],"vector":[107],"machine":[108],"(SVM).":[109],"In":[110],"total,":[111],"11":[112],"classes":[113],"(5":[114],"pans":[115],"6":[117],"shafts)":[118],"shall":[119],"classified.":[121],"Results:":[122],"The":[123,140,162],"generated":[126],"good":[129],"quality":[130],"even":[131],"though":[132],"initial":[134],"technicians.":[139],"results":[143],"were":[144],"achieved":[145],"using":[146],"U-net":[148],"architecture.":[149],"For":[150],"classification,":[151],"SVM":[152],"architectures":[153],"much":[155],"better":[156],"than":[157],"additional":[158],"networks.":[160],"Conclusions:":[161],"overall":[163],"well,":[168],"but":[169],"needs":[173],"extended":[176],"include":[178],"broader":[180],"variability":[181],"implant":[183],"types":[184],"more":[186],"examples":[187],"training":[189],"class.":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}