{"id":"https://openalex.org/W1969659592","doi":"https://doi.org/10.1109/isspa.2012.6310601","title":"A new adaptive framework for tubular structures segmentation in X-ray angiography","display_name":"A new adaptive framework for tubular structures segmentation in X-ray angiography","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1969659592","doi":"https://doi.org/10.1109/isspa.2012.6310601","mag":"1969659592"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","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/A5044996262","display_name":"Faten M\u2019hiri","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Faten M'hiri","raw_affiliation_strings":["Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023725893","display_name":"Ngan Le","orcid":"https://orcid.org/0000-0003-2571-0511"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ngan Le T. Hoang","raw_affiliation_strings":["CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA","[Cylab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Cylab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065402185","display_name":"Luc Duong","orcid":"https://orcid.org/0000-0003-3118-5389"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Luc Duong","raw_affiliation_strings":["Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Cheriet","raw_affiliation_strings":["Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Ecole de technologie superieure - Universite du Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"\u00c9cole de technologie superieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044996262"],"corresponding_institution_ids":["https://openalex.org/I159129438","https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78329516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"496","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7987005710601807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7074564099311829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6225581169128418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096675992012024},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5906726717948914},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5879405736923218},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43553268909454346},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42037463188171387},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.41957712173461914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3776881694793701},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21863126754760742}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7987005710601807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074564099311829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6225581169128418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096675992012024},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5906726717948914},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5879405736923218},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43553268909454346},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42037463188171387},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.41957712173461914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3776881694793701},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21863126754760742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2012.6310601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6800000071525574,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321747","display_name":"Fonds Qu\u00e9b\u00e9cois de la Recherche sur la Nature et les Technologies","ror":"https://ror.org/00b9f9778"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1594433671","https://openalex.org/W1965101186","https://openalex.org/W1987869189","https://openalex.org/W2062179879","https://openalex.org/W2095049733","https://openalex.org/W2116040950","https://openalex.org/W2124470134","https://openalex.org/W2128457244","https://openalex.org/W2129534965","https://openalex.org/W2136659826","https://openalex.org/W2139478903","https://openalex.org/W2155368608","https://openalex.org/W2159896758","https://openalex.org/W4285719527","https://openalex.org/W6683138036"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2059493168","https://openalex.org/W2075537321","https://openalex.org/W2371593620","https://openalex.org/W1522196789","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W1979702773","https://openalex.org/W2159463658","https://openalex.org/W2051067977"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,21,38,42,50,53,64,154,167],"tubular":[2,84,93,155],"structures":[3,31,58,85,94,101,156],"in":[4,73,151],"X-ray":[5,39],"angiographies,":[6],"such":[7],"as":[8],"the":[9,19,22,36,48,51,62,65,100,105,126,145,152,165,172],"aorta":[10],"or":[11],"coronary":[12],"arteries,":[13],"is":[14,32,175],"a":[15,76,96,113],"critical":[16],"task":[17],"for":[18],"guidance":[20],"heart":[23],"surgeon":[24],"during":[25],"percutaneous":[26],"cardiac":[27],"interventions.":[28],"Extracting":[29],"these":[30],"challenging":[33],"due":[34],"to":[35,47,78,82,125,164,177],"quality":[37],"angiographies":[40],"(presence":[41],"noise,":[43],"non-homogeneous":[44],"regions)":[45],"and":[46,56,68,115,157,169,179],"characteristics":[49],"structure":[52],"interest":[54],"(tubular":[55],"fine":[57,79],").":[59],"To":[60],"overcome":[61],"shortcomings":[63],"conventional":[66],"local":[67,114,168],"global":[69,116,170],"methods,":[70],"we":[71],"propose":[72],"this":[74],"paper,":[75],"coarse":[77],"segmentation":[80,153],"framework":[81,90],"extract":[83],"from":[86],"x-ray":[87],"angiographies.":[88],"The":[89,140],"first":[91],"enhances":[92],"by":[95,104],"vesselness":[97],"filter.":[98],"Then,":[99],"are":[102,122],"segmented":[103],"proposed":[106,146,173],"adaptive":[107],"active":[108,160],"contour":[109,161],"method":[110],"which":[111],"combines":[112],"fitting":[117],"energy.":[118],"Those":[119],"two":[120],"forces":[121],"weighted":[123],"according":[124],"image's":[127],"homogeneity":[128],"value.":[129],"Experiments":[130],"have":[131,142],"been":[132],"conducted":[133],"on":[134,138],"different":[135],"angiograms":[136],"acquired":[137],"children.":[139],"results":[141,150],"shown":[143],"that":[144],"approach":[147],"gives":[148],"promising":[149],"outperforms":[158],"other":[159],"methods.":[162],"Thanks":[163],"combination":[166],"forces,":[171],"system":[174],"robust":[176],"noise":[178],"intensity":[180],"inhomogeneity.":[181]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
