{"id":"https://openalex.org/W2558783355","doi":"https://doi.org/10.1109/ivcnz.2015.7761535","title":"Lumen coronary artery border detection using texture and Chi-square classification","display_name":"Lumen coronary artery border detection using texture and Chi-square classification","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2558783355","doi":"https://doi.org/10.1109/ivcnz.2015.7761535","mag":"2558783355"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2015.7761535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5056848932","display_name":"Hannah Sofian","orcid":"https://orcid.org/0000-0002-7308-890X"},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hannah Sofian","raw_affiliation_strings":["Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016211381","display_name":"Suraya Muhammad","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Suraya Muhammad","raw_affiliation_strings":["Razak School of Engineering and Advanced Technology, UniKL BMI, Universiti Kuala Lumpur, Gombak, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Razak School of Engineering and Advanced Technology, UniKL BMI, Universiti Kuala Lumpur, Gombak, Selangor, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110211408","display_name":"Joel Than Chia Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Joel Than Chia Ming","raw_affiliation_strings":["Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062305204","display_name":"Norliza Mohd Noor","orcid":"https://orcid.org/0000-0001-6540-1006"},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norliza Mohd Noor","raw_affiliation_strings":["Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Razak School of Engineering and Advanced Technology, UniKL MIIT, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4528857"],"apc_list":null,"apc_paid":null,"fwci":0.2955,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67481403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9702000021934509,"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9702000021934509,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9656999707221985,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.7632999420166016},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6997753977775574},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6526246070861816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6028174161911011},{"id":"https://openalex.org/keywords/intravascular-ultrasound","display_name":"Intravascular ultrasound","score":0.5697895288467407},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5555673241615295},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.493007630109787},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.48330095410346985},{"id":"https://openalex.org/keywords/lumen","display_name":"Lumen (anatomy)","score":0.47373783588409424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47028234601020813},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44574347138404846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.429465115070343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4073023200035095},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4068060517311096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40467193722724915},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24849218130111694},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.16675075888633728},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1452406942844391},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09616824984550476}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7632999420166016},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6997753977775574},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6526246070861816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028174161911011},{"id":"https://openalex.org/C2776931568","wikidata":"https://www.wikidata.org/wiki/Q1671577","display_name":"Intravascular ultrasound","level":2,"score":0.5697895288467407},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5555673241615295},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.493007630109787},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.48330095410346985},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.47373783588409424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47028234601020813},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44574347138404846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.429465115070343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4073023200035095},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4068060517311096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40467193722724915},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24849218130111694},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.16675075888633728},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1452406942844391},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09616824984550476},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2015.7761535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2228599","https://openalex.org/W1491719799","https://openalex.org/W1660994971","https://openalex.org/W1952852159","https://openalex.org/W1995523322","https://openalex.org/W2005461450","https://openalex.org/W2015795623","https://openalex.org/W2044873446","https://openalex.org/W2048352997","https://openalex.org/W2060322597","https://openalex.org/W2132140142","https://openalex.org/W2142452807","https://openalex.org/W2151134961"],"related_works":["https://openalex.org/W2953570019","https://openalex.org/W3012828488","https://openalex.org/W3116883888","https://openalex.org/W4367019122","https://openalex.org/W3161021928","https://openalex.org/W4280645644","https://openalex.org/W2766422710","https://openalex.org/W4287631720","https://openalex.org/W3093926553","https://openalex.org/W4380986815"],"abstract_inverted_index":{"In":[0,132],"this":[1,133],"paper,":[2],"we":[3],"present":[4],"the":[5,39,43,46,86,89,107,135,139],"lumen":[6,47],"coronary":[7,48],"artery":[8,49],"border":[9,140],"detection":[10,141],"using":[11,112],"intravascular":[12],"ultrasound":[13],"(IVUS)":[14],"images.":[15],"The":[16,78,103],"approach":[17],"make":[18],"used":[19,83],"of":[20,58,106],"texture":[21],"analysis":[22],"based":[23],"on":[24,55],"Binary":[25],"Robust":[26],"Independent":[27],"Elementary":[28],"Features":[29],"(BRIEF)":[30],"and":[31,41,94,127],"Chi-square":[32],"classification.":[33],"This":[34,51],"proposed":[35,90,108],"method":[36,52,93,109],"can":[37],"detect":[38],"boundary":[40],"calculate":[42],"area":[44],"within":[45],"border.":[50],"was":[53],"tested":[54],"thirty":[56],"samples":[57],"IVUS":[59],"images":[60],"which":[61],"were":[62,101],"obtained":[63],"from":[64],"Computer":[65],"Vision":[66],"Centre,":[67],"Bellaterra,":[68],"Dept.":[69],"Matem\u00e0tica":[70],"Aplicada":[71],"i":[72],"An\u00e0lisi,":[73],"Universitat":[74],"de":[75],"Barcelona,":[76],"Barcelona.":[77],"Bland":[79],"Altman":[80],"plot":[81],"is":[82,110,142,147],"to":[84],"show":[85,137],"variation":[87],"between":[88],"automatic":[91],"segmentation":[92,104],"ground":[95],"truth":[96],"when":[97,144],"three":[98],"different":[99],"threshold":[100,145],"used.":[102,148],"performance":[105],"measured":[111],"Jaccard":[113],"Index":[114,130],"(JI),":[115],"Hausdorff":[116],"Distance":[117],"(HD),":[118],"Area":[119,124],"Overlap":[120],"Error":[121],"(AOE),":[122],"Percentage":[123],"Difference":[125],"(PAD)":[126],"Dice":[128],"Similarity":[129],"(DI).":[131],"study,":[134],"results":[136],"that":[138],"better":[143],"TH5":[146]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}