{"id":"https://openalex.org/W2065385607","doi":"https://doi.org/10.1109/bibe.2012.6399725","title":"Application of fast segmentation method for knee contour delineation","display_name":"Application of fast segmentation method for knee contour delineation","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2065385607","doi":"https://doi.org/10.1109/bibe.2012.6399725","mag":"2065385607"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2012.6399725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","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/A5004690751","display_name":"Antonio Pinti","orcid":null},"institutions":[{"id":"https://openalex.org/I70348806","display_name":"Universit\u00e9 Polytechnique Hauts-de-France","ror":"https://ror.org/02ezch769","country_code":"FR","type":"education","lineage":["https://openalex.org/I70348806"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antonio Pinti","raw_affiliation_strings":["ENSIAME \u2015 UVHC, Universite de Valenciennes, Valenciennes, France","ENSIAME - UVHC, Universit\u00e9 de Valenciennes, 59300 Valenciennes, France#TAB#"],"affiliations":[{"raw_affiliation_string":"ENSIAME \u2015 UVHC, Universite de Valenciennes, Valenciennes, France","institution_ids":["https://openalex.org/I70348806"]},{"raw_affiliation_string":"ENSIAME - UVHC, Universit\u00e9 de Valenciennes, 59300 Valenciennes, France#TAB#","institution_ids":["https://openalex.org/I70348806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072080756","display_name":"Rapha\u00ebl Coursier","orcid":"https://orcid.org/0000-0001-6509-750X"},"institutions":[{"id":"https://openalex.org/I4210137780","display_name":"Groupe Hospitalier de l'Institut Catholique de Lille","ror":"https://ror.org/03wr2ty35","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210137780"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raphael Coursier","raw_affiliation_strings":["Groupe Hospitalier de, I'Institut Catholique de Lille, Lomme, France","Groupe Hospitalier de, l'Institut Catholique de Lille, 59462 Lomme, France"],"affiliations":[{"raw_affiliation_string":"Groupe Hospitalier de, I'Institut Catholique de Lille, Lomme, France","institution_ids":["https://openalex.org/I4210137780"]},{"raw_affiliation_string":"Groupe Hospitalier de, l'Institut Catholique de Lille, 59462 Lomme, France","institution_ids":["https://openalex.org/I4210137780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078826032","display_name":"\u00c9ric Watelain","orcid":"https://orcid.org/0000-0001-6837-623X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I70348806","display_name":"Universit\u00e9 Polytechnique Hauts-de-France","ror":"https://ror.org/02ezch769","country_code":"FR","type":"education","lineage":["https://openalex.org/I70348806"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Watelain","raw_affiliation_strings":["Handibio, Universitc Du Sud Toulon Var, La Garde Cedex, France","LAMIH - UMR 8201 CNRS, Universit\u00e9 de Valenciennes, 59300 Valenciennes, France"],"affiliations":[{"raw_affiliation_string":"Handibio, Universitc Du Sud Toulon Var, La Garde Cedex, France","institution_ids":["https://openalex.org/I143002897"]},{"raw_affiliation_string":"LAMIH - UMR 8201 CNRS, Universit\u00e9 de Valenciennes, 59300 Valenciennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I70348806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090270022","display_name":"Hechmi Toumi","orcid":"https://orcid.org/0000-0003-4589-7731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hechmi Toumi","raw_affiliation_strings":["EA 4708, I3MTO, CHRO 1, rue Porte Madeleine, Orleans, France","EA 4708, I3MTO, CHRO 1, rue Porte Madeleine, 45032 Orl\u00e9ans, France"],"affiliations":[{"raw_affiliation_string":"EA 4708, I3MTO, CHRO 1, rue Porte Madeleine, Orleans, France","institution_ids":[]},{"raw_affiliation_string":"EA 4708, I3MTO, CHRO 1, rue Porte Madeleine, 45032 Orl\u00e9ans, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004690751"],"corresponding_institution_ids":["https://openalex.org/I70348806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13291716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"484","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9979000091552734,"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/T11448","display_name":"Face recognition and analysis","score":0.9979000091552734,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7760851383209229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516055703163147},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7501552104949951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6354462504386902},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6328908205032349},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5968925952911377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5360071659088135},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.512703537940979},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.48528119921684265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35009628534317017}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7760851383209229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516055703163147},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7501552104949951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6354462504386902},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6328908205032349},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5968925952911377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5360071659088135},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.512703537940979},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.48528119921684265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35009628534317017}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2012.6399725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1965913815","https://openalex.org/W1975301015","https://openalex.org/W2032051785","https://openalex.org/W2082308025","https://openalex.org/W2085714685","https://openalex.org/W2104276184","https://openalex.org/W2123116174","https://openalex.org/W2152826865","https://openalex.org/W2161971340","https://openalex.org/W2172803778","https://openalex.org/W6678465125","https://openalex.org/W6682634897"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,22],"fully":[3],"automatic":[4],"model":[5,42,50,62,86],"based":[6,20,28,76,87],"system":[7],"for":[8],"segmenting":[9],"bone":[10],"MR":[11,70],"images":[12],"of":[13],"the":[14,36,58,99],"knee.":[15],"The":[16,49,61],"segmentation":[17,85],"method":[18],"is":[19,51],"on":[21,29,94],"fast":[23,47],"Active":[24],"Appearance":[25],"Models":[26],"(AAM)":[27],"canonical":[30],"correlation":[31],"analysis":[32],"algorithm":[33],"(CCA-AAM)":[34],"where":[35],"dependency":[37],"between":[38],"texture":[39],"residuals":[40],"and":[41],"parameters":[43],"are":[44,102],"estimated":[45],"in":[46],"manner.":[48],"built":[52],"from":[53,57],"manually":[54],"segmented":[55],"examples":[56],"knee":[59,69,95],"images.":[60,71],"has":[63],"been":[64],"applied":[65],"to":[66,97],"some":[67],"challenging":[68],"Experiments":[72],"show":[73,92],"that":[74,101],"CCA-AAMs":[75],"segmentation,":[77],"while":[78],"requiring":[79],"similar":[80],"implementation":[81],"effort,":[82],"consistently":[83],"outperform":[84],"traditional":[88],"AAM.":[89],"Finally,":[90],"we":[91],"results":[93],"image":[96],"illustrate":[98],"performance":[100],"possible.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}