{"id":"https://openalex.org/W3042203708","doi":"https://doi.org/10.1109/memea49120.2020.9137228","title":"A Machine Learning Approach to Carotid Wall Localization in A-mode Ultrasound","display_name":"A Machine Learning Approach to Carotid Wall Localization in A-mode Ultrasound","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3042203708","doi":"https://doi.org/10.1109/memea49120.2020.9137228","mag":"3042203708"},"language":"en","primary_location":{"id":"doi:10.1109/memea49120.2020.9137228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038357904","display_name":"Shivendra Singh","orcid":"https://orcid.org/0000-0002-0028-984X"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shivendra Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, Lovely Professional University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Lovely Professional University, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088975480","display_name":"Ashish Kumar Sahani","orcid":"https://orcid.org/0000-0001-9173-3856"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Kumar Sahani","raw_affiliation_strings":["Center for Biomedical and Engineering, Indian Institute of technology, Ropar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomedical and Engineering, Indian Institute of technology, Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2318,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75622143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12979","display_name":"Cardiovascular Disease and Adiposity","score":0.9401000142097473,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/adaboost","display_name":"AdaBoost","score":0.8835583329200745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6766042709350586},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.636233925819397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904815196990967},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5859551429748535},{"id":"https://openalex.org/keywords/transducer","display_name":"Transducer","score":0.5743744969367981},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4643822908401489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4353765547275543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3524984121322632},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30553480982780457},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.15732929110527039},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13849681615829468},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13395950198173523}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8835583329200745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766042709350586},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.636233925819397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904815196990967},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5859551429748535},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.5743744969367981},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4643822908401489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4353765547275543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3524984121322632},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30553480982780457},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.15732929110527039},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13849681615829468},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13395950198173523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/memea49120.2020.9137228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},{"id":"mag:3211245991","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002266498741003","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2003533816","https://openalex.org/W2024826531","https://openalex.org/W2060089340","https://openalex.org/W2096237016","https://openalex.org/W2105477676","https://openalex.org/W2326780190","https://openalex.org/W6656611932"],"related_works":["https://openalex.org/W2012283803","https://openalex.org/W4384820447","https://openalex.org/W2072454424","https://openalex.org/W2117438306","https://openalex.org/W2185942010","https://openalex.org/W2260725127","https://openalex.org/W2004297762","https://openalex.org/W3039673966","https://openalex.org/W1992056405","https://openalex.org/W1966826629"],"abstract_inverted_index":{"ARTSENS":[0,30],"is":[1],"being":[2],"developed":[3],"as":[4],"a":[5,32,66,119],"fully":[6],"automated":[7],"ultrasound":[8,35],"based":[9],"imageless":[10],"system":[11],"to":[12],"facilitate":[13],"mass":[14],"screening":[15],"of":[16,21,44,60],"patients":[17],"for":[18],"early":[19],"detection":[20],"atherosclerosis":[22],"especially":[23],"in":[24,69],"low-":[25],"and":[26,37,57,62,88,103],"middle-":[27],"income":[28],"countries.":[29],"uses":[31],"single":[33,50],"element":[34,51],"transducer":[36,52],"thus":[38],"makes":[39],"its":[40],"measurement":[41],"on":[42,46,53,90,98,105],"basis":[43],"observations":[45],"A-line.":[47],"Positioning":[48],"the":[49,54,113,116],"carotid":[55],"artery":[56],"automatic":[58],"identification":[59],"proximal":[61],"distal":[63],"walls":[64],"are":[65],"major":[67],"challenge":[68],"this":[70,73],"device.":[71],"In":[72],"paper,":[74],"we":[75],"explore":[76],"various":[77],"machine":[78,87],"learning":[79],"methods":[80],"namely":[81],"\u2013":[82],"logistic":[83],"regression,":[84],"support":[85],"vector":[86],"Adaboost,":[89],"selectively":[91],"extracted":[92],"features.":[93],"The":[94],"algorithms":[95],"were":[96],"trained":[97],"data":[99,106],"from":[100,107],"60":[101],"subjects":[102],"tested":[104],"40":[108],"subjects.":[109],"Adaboost":[110],"algorithm":[111],"performed":[112],"best":[114],"among":[115],"three":[117],"logging":[118],"91.66%":[120],"accuracy.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
