{"id":"https://openalex.org/W4405491518","doi":"https://doi.org/10.1109/embc53108.2024.10782185","title":"Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning","display_name":"Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405491518","doi":"https://doi.org/10.1109/embc53108.2024.10782185","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039129"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5029876399","display_name":"Shrimanti Ghosh","orcid":"https://orcid.org/0000-0003-0659-0147"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shrimanti Ghosh","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068068452","display_name":"Banafshe Felfeliyan","orcid":"https://orcid.org/0000-0002-3404-7048"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Banafshe Felfeliyan","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020142976","display_name":"Yuyue Zhou","orcid":"https://orcid.org/0000-0003-3606-3401"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuyue Zhou","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039110200","display_name":"Jessica Knight","orcid":"https://orcid.org/0000-0003-2508-6130"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jessica Knight","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066585953","display_name":"Natasha Akhlaq","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Natasha Akhlaq","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071627591","display_name":"Jessica K\u00fcpper","orcid":"https://orcid.org/0000-0001-5381-9501"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jessica K\u00fcpper","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086414445","display_name":"Abhilash Rakkunedeth Hareendranathan","orcid":"https://orcid.org/0000-0001-6201-9258"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abhilash R. Hareendranathan","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035920057","display_name":"Jacob L. Jaremko","orcid":"https://orcid.org/0000-0001-5314-2297"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob L. Jaremko","raw_affiliation_strings":["University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4845,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84039006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10280","display_name":"Shoulder Injury and Treatment","score":0.9919999837875366,"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/T10280","display_name":"Shoulder Injury and Treatment","score":0.9919999837875366,"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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9266999959945679,"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/rotator-cuff","display_name":"Rotator cuff","score":0.9120192527770996},{"id":"https://openalex.org/keywords/tears","display_name":"Tears","score":0.8013929724693298},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6248711347579956},{"id":"https://openalex.org/keywords/tendon","display_name":"Tendon","score":0.5447259545326233},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4375547468662262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4261763095855713},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.37741315364837646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36712026596069336},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32698628306388855},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.25599703192710876},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.1607324481010437}],"concepts":[{"id":"https://openalex.org/C2776511800","wikidata":"https://www.wikidata.org/wiki/Q1764136","display_name":"Rotator cuff","level":2,"score":0.9120192527770996},{"id":"https://openalex.org/C2778275304","wikidata":"https://www.wikidata.org/wiki/Q76469","display_name":"Tears","level":2,"score":0.8013929724693298},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6248711347579956},{"id":"https://openalex.org/C2780105995","wikidata":"https://www.wikidata.org/wiki/Q232358","display_name":"Tendon","level":2,"score":0.5447259545326233},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4375547468662262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4261763095855713},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.37741315364837646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36712026596069336},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32698628306388855},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.25599703192710876},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.1607324481010437}],"mesh":[{"descriptor_ui":"D000070636","descriptor_name":"Rotator Cuff Injuries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000070636","descriptor_name":"Rotator Cuff Injuries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000070636","descriptor_name":"Rotator Cuff Injuries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000070636","descriptor_name":"Rotator Cuff Injuries","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001331","descriptor_name":"Automation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001331","descriptor_name":"Automation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017006","descriptor_name":"Rotator Cuff","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D017006","descriptor_name":"Rotator Cuff","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D017006","descriptor_name":"Rotator Cuff","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10782185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039129","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039129","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1967586714","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2884436604","https://openalex.org/W2954550524","https://openalex.org/W2961320594","https://openalex.org/W2964350391","https://openalex.org/W2966256791","https://openalex.org/W3012748995","https://openalex.org/W3026761822","https://openalex.org/W3071682211","https://openalex.org/W3088878453","https://openalex.org/W3152685026","https://openalex.org/W3164581645","https://openalex.org/W4206577958","https://openalex.org/W4287825185","https://openalex.org/W4367300955","https://openalex.org/W4387214769","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6687483927","https://openalex.org/W6753182481","https://openalex.org/W6774252562"],"related_works":["https://openalex.org/W2029912497","https://openalex.org/W3010937991","https://openalex.org/W2321176713","https://openalex.org/W3211009786","https://openalex.org/W2502507991","https://openalex.org/W4389751323","https://openalex.org/W2137517679","https://openalex.org/W2128027131","https://openalex.org/W2975780503","https://openalex.org/W2155689983"],"abstract_inverted_index":{"Rotator":[0],"cuff":[1,42,248],"tendon":[2],"tears,":[3],"the":[4,104,111,116,140,144,154,238],"most":[5,151],"common":[6],"shoulder":[7],"injuries,":[8],"are":[9,120,131,150],"typically":[10],"diagnosed":[11],"mainly":[12],"through":[13],"MRI,":[14],"but":[15],"can":[16,256],"also":[17],"be":[18],"seen":[19],"on":[20,167],"ultrasound":[21,243],"(US),":[22],"a":[23,58,84,123,201],"much":[24,50],"less":[25],"costly":[26],"test":[27,49],"that":[28,86,231],"currently":[29],"requires":[30],"highly-trained":[31],"human":[32],"expert":[33],"operators.":[34],"An":[35],"AI":[36],"tool":[37],"to":[38,76,122,127,153,240,245,261,268],"identify":[39],"full-thickness":[40],"rotator":[41,247],"tears":[43,149,249],"in":[44,53,218],"US":[45,71,100,113,227,234],"could":[46],"make":[47],"this":[48,165],"more":[51,258],"accessible":[52],"clinical":[54,161],"practice.":[55],"We":[56,82,163,183],"propose":[57],"two-step":[59],"approach":[60,137,166],"starting":[61],"with":[62,175,180,250],"segmentation":[63,69,118,187],"and":[64,79,94,115,160,178,193,253,270],"followed":[65],"by":[66],"classification.":[67],"Automatic":[68],"of":[70,91,143,191,197],"scans":[72],"is":[73],"challenging":[74],"due":[75],"speckle":[77],"noise":[78],"low":[80],"contrast.":[81],"utilized":[83],"CNN-autoencoder":[85],"predicts":[87],"boundary":[88],"contour":[89],"points":[90],"humeral":[92],"cortex":[93],"subacromial":[95],"bursa":[96],"directly":[97],"from":[98,171,226],"raw":[99],"images":[101,177],"rather":[102],"than":[103],"popular":[105],"pixel-wise":[106],"semantic":[107],"segmentation.":[108],"Then":[109],"both":[110],"original":[112],"image":[114],"corresponding":[117],"mask":[119],"passed":[121],"classification":[124,155,208],"network":[125],"(VGG-16)":[126],"determine":[128],"whether":[129],"tendons":[130,221],"torn":[132,225],"or":[133,224],"intact.":[134],"This":[135,255],"novel":[136],"only":[138],"passes":[139],"key":[141],"portions":[142],"scan":[145],"(in":[146],"which":[147],"any":[148],"visible)":[152],"network,":[156,209],"maximizing":[157],"detection":[158],"accuracy":[159,213,252],"relevance.":[162],"evaluated":[164],"data":[168],"prospectively":[169],"acquired":[170],"210":[172],"patients,":[173],"training":[174],"11,600":[176],"testing":[179],"2900":[181],"images.":[182,228],"had":[184],"an":[185],"average":[186],"Dice":[188],"coefficient":[189],"(DC)":[190],"95.3%":[192],"Hausdorff":[194],"Distance":[195],"(HD)":[196],"2.9":[198],"mm,":[199],"outperforming":[200],"U-Net":[202],"model":[203],"(DC=90.5%,":[204],"HD=6.8":[205],"mm).":[206],"The":[207],"VGG-16,":[210],"achieved":[211],"85.2%":[212],"(sensitivity":[214],"84.2%,":[215],"specificity":[216],"83.3%)":[217],"classifying":[219],"supraspinatus":[220],"as":[222],"intact":[223],"Results":[229],"indicate":[230],"our":[232],"AI-driven":[233],"evaluation":[235],"pipeline":[236],"has":[237],"potential":[239],"enable":[241],"less-experienced":[242],"users":[244],"detect":[246],"high":[251],"explainability.":[254],"allow":[257],"healthcare":[259],"professionals":[260],"conduct":[262],"scans,":[263],"improving":[264],"timely":[265],"patient":[266],"access":[267],"imaging":[269],"streamlining":[271],"treatment":[272],"decisions.":[273]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}