{"id":"https://openalex.org/W2028017105","doi":"https://doi.org/10.1109/ipas.2014.7043312","title":"Detection of intracranial aneurysm in angiographic images using fuzzy approaches","display_name":"Detection of intracranial aneurysm in angiographic images using fuzzy approaches","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2028017105","doi":"https://doi.org/10.1109/ipas.2014.7043312","mag":"2028017105"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2014.7043312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","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/A5073552601","display_name":"Ines Rahmany","orcid":"https://orcid.org/0000-0001-9086-5080"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ines Rahmany","raw_affiliation_strings":["Universit\u00e9 de Tunis E1 Manar, Laboratoire de Biophysique et Technologies M\u00e9dicales, Tunis, Tunisia","Universit\u00e9 de Tunis El Manar, Institut Suprieur des Technologies M\u00e9dicales de Tunis, Laboratoire de Biophysique et Technologies M\u00e9dicales, 1006, Tunisia"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Tunis E1 Manar, Laboratoire de Biophysique et Technologies M\u00e9dicales, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]},{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, Institut Suprieur des Technologies M\u00e9dicales de Tunis, Laboratoire de Biophysique et Technologies M\u00e9dicales, 1006, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087117994","display_name":"Nawr\u00e8s Khlifa","orcid":"https://orcid.org/0000-0001-6043-6410"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nawres Khlifa","raw_affiliation_strings":["Universit\u00e9 de Tunis E1 Manar, Laboratoire de Biophysique et Technologies M\u00e9dicales, Tunis, Tunisia","Universit\u00e9 de Tunis El Manar, Institut Suprieur des Technologies M\u00e9dicales de Tunis, Laboratoire de Biophysique et Technologies M\u00e9dicales, 1006, Tunisia"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Tunis E1 Manar, Laboratoire de Biophysique et Technologies M\u00e9dicales, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]},{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, Institut Suprieur des Technologies M\u00e9dicales de Tunis, Laboratoire de Biophysique et Technologies M\u00e9dicales, 1006, Tunisia","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073552601"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.09720837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9954000115394592,"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":0.9954000115394592,"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/false-positive-paradox","display_name":"False positive paradox","score":0.8219844102859497},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6789363622665405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6108108162879944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902884602546692},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5514727830886841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47980430722236633},{"id":"https://openalex.org/keywords/aneurysm","display_name":"Aneurysm","score":0.4648662209510803},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4473322629928589},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.40229925513267517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37266483902931213},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19675114750862122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17114004492759705}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.8219844102859497},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6789363622665405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6108108162879944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902884602546692},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5514727830886841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47980430722236633},{"id":"https://openalex.org/C2776098176","wikidata":"https://www.wikidata.org/wiki/Q189389","display_name":"Aneurysm","level":2,"score":0.4648662209510803},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4473322629928589},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.40229925513267517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37266483902931213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19675114750862122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17114004492759705},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"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/ipas.2014.7043312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2014.7043312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Image Processing, Applications and Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1508853606","https://openalex.org/W1575129135","https://openalex.org/W1599582921","https://openalex.org/W1984852941","https://openalex.org/W1987297477","https://openalex.org/W2016648380","https://openalex.org/W2016721454","https://openalex.org/W2040895929","https://openalex.org/W2104813545","https://openalex.org/W2132924384","https://openalex.org/W2149352820","https://openalex.org/W2165374226","https://openalex.org/W2168947243","https://openalex.org/W2169503864","https://openalex.org/W2170356860","https://openalex.org/W6634514932","https://openalex.org/W6646239043"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W4293440023","https://openalex.org/W2050736209","https://openalex.org/W3209204065","https://openalex.org/W2248024246","https://openalex.org/W2374334911","https://openalex.org/W2105707930","https://openalex.org/W1755711892"],"abstract_inverted_index":{"The":[0,39,54,74,92],"detection":[1,24,56,123],"of":[2,6,13,27,48,51,87,102,116],"cerebral":[3,36,44],"aneurysms":[4,34,61,88],"is":[5,76],"a":[7,22,109,113],"paramount":[8],"importance":[9],"in":[10,19,35,62],"the":[11,49,60,63,67,79,82,85,100,103],"prevention":[12],"intracranial":[14],"sub-arachnoid":[15],"hemorrhage.":[16],"We":[17],"propose":[18],"this":[20],"paper,":[21],"complete":[23],"scheme,":[25],"consisting":[26],"two":[28],"phases,":[29],"to":[30,77,108,121],"detect":[31],"blobs":[32],"and":[33,84],"2D-DSA":[37],"images.":[38],"first":[40],"classification":[41],"phase":[42,57],"extracts":[43],"vasculature":[45],"by":[46],"means":[47],"fusion":[50],"multiple":[52],"classifiers.":[53],"second":[55],"involves":[58],"detecting":[59],"vascular":[64],"tree":[65],"from":[66],"segmented":[68],"images":[69],"using":[70,89],"fuzzy":[71,90],"Mathematical":[72],"Morphology.":[73],"idea":[75],"model":[78],"imprecision":[80],"on":[81,95],"size":[83],"shape":[86],"logic.":[91],"experimental":[93],"results":[94],"our":[96],"test":[97],"images,":[98],"demonstrate":[99],"usefulness":[101],"proposed":[104],"method,":[105],"which":[106],"induces":[107],"high":[110],"sensitivity":[111],"with":[112],"low":[114],"number":[115],"false":[117],"positives,and":[118],"compares":[119],"favorably":[120],"existing":[122],"approaches.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}