{"id":"https://openalex.org/W2972782357","doi":"https://doi.org/10.1109/access.2019.2940645","title":"A Deep Siamese-Based Plantar Fasciitis Classification Method Using Shear Wave Elastography","display_name":"A Deep Siamese-Based Plantar Fasciitis Classification Method Using Shear Wave Elastography","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2972782357","doi":"https://doi.org/10.1109/access.2019.2940645","mag":"2972782357"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2940645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08830477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08830477.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070785162","display_name":"Junling Gao","orcid":"https://orcid.org/0000-0001-7161-3718"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junling Gao","raw_affiliation_strings":["Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7161-3718","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091329388","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0001-9481-7350"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084703712","display_name":"Ayache Bouakaz","orcid":"https://orcid.org/0000-0001-5709-7120"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ayache Bouakaz","raw_affiliation_strings":["UMR 1253, iBrain, Universit\u00e9 de Tours, Inserm, Tours, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR 1253, iBrain, Universit\u00e9 de Tours, Inserm, Tours, France","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I154526488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079498254","display_name":"Mingxi Wan","orcid":"https://orcid.org/0000-0002-6704-1216"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxi Wan","raw_affiliation_strings":["Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6704-1216","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9152,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7946683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"130999","last_page":"131007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9958000183105469,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9958000183105469,"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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/plantar-fasciitis","display_name":"Plantar fasciitis","score":0.8497743010520935},{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.5043462514877319},{"id":"https://openalex.org/keywords/shear","display_name":"Shear (geology)","score":0.48247554898262024},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.46568575501441956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3356952965259552},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31041792035102844},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23960381746292114},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.17292386293411255},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.13673773407936096}],"concepts":[{"id":"https://openalex.org/C2777069013","wikidata":"https://www.wikidata.org/wiki/Q52851","display_name":"Plantar fasciitis","level":3,"score":0.8497743010520935},{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.5043462514877319},{"id":"https://openalex.org/C96035792","wikidata":"https://www.wikidata.org/wiki/Q43606218","display_name":"Shear (geology)","level":2,"score":0.48247554898262024},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.46568575501441956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3356952965259552},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31041792035102844},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23960381746292114},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.17292386293411255},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.13673773407936096},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C2777248721","wikidata":"https://www.wikidata.org/wiki/Q174647","display_name":"Heel","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2940645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08830477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d1f285fe89c74692876ea2523d8483b8","is_oa":true,"landing_page_url":"https://doaj.org/article/d1f285fe89c74692876ea2523d8483b8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 130999-131007 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2940645","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940645","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08830477.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G4594894116","display_name":null,"funder_award_id":"81827801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6793146627","display_name":null,"funder_award_id":"81771854","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8308409519","display_name":"\u53d1\u58f0\u5f15\u8d77\u7684\u58f0\u5e26\u7ec4\u7ec7\u5931\u6c34\u5728\u53d1\u58f0\u75b2\u52b3\u4ea7\u751f\u4e2d\u7684\u751f\u7269\u7269\u7406\u673a\u5236","funder_award_id":"11874049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972782357.pdf","grobid_xml":"https://content.openalex.org/works/W2972782357.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1973175542","https://openalex.org/W1974122280","https://openalex.org/W1986897688","https://openalex.org/W1999390052","https://openalex.org/W2010043809","https://openalex.org/W2013301121","https://openalex.org/W2044465660","https://openalex.org/W2054700404","https://openalex.org/W2074445922","https://openalex.org/W2074595488","https://openalex.org/W2096465076","https://openalex.org/W2108027219","https://openalex.org/W2128739912","https://openalex.org/W2130400238","https://openalex.org/W2142526839","https://openalex.org/W2161349414","https://openalex.org/W2163605009","https://openalex.org/W2165834899","https://openalex.org/W2170590026","https://openalex.org/W2174661749","https://openalex.org/W2187089797","https://openalex.org/W2253429366","https://openalex.org/W2288062769","https://openalex.org/W2380842912","https://openalex.org/W2482340213","https://openalex.org/W2509685700","https://openalex.org/W2592929672","https://openalex.org/W2801458876","https://openalex.org/W6637373629","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725"],"abstract_inverted_index":{"Two-dimensional":[0],"shear":[1],"wave":[2],"elastography":[3],"(2D-SWE)":[4],"is":[5,51,215],"an":[6,194],"effective":[7,108],"and":[8,36,98,107,120,128,143,148,157,164,208,231,241],"feasible":[9],"method":[10,223],"for":[11],"plantar":[12,198],"fasciitis":[13],"(PF)":[14],"evaluation.":[15],"Until":[16],"now,":[17],"only":[18],"experienced":[19],"doctors":[20],"have":[21,71],"been":[22,72],"able":[23],"to":[24,43,78,186],"give":[25],"relatively":[26],"accurate":[27],"evaluation":[28],"via":[29],"ultrasound":[30,49,240],"images,":[31],"resulting":[32],"in":[33,64],"low":[34],"efficiency":[35],"high":[37],"cost.":[38],"Therefore,":[39],"designing":[40],"automatic":[41],"algorithms":[42],"recognize":[44],"the":[45,79,136,158,173,177,182,187,221,248],"pattern":[46,207],"of":[47,81,140,197,204,211,227],"these":[48],"images":[50,142,203,210],"urgently":[52],"required.":[53],"In":[54,152,243],"recent":[55],"years,":[56],"deep":[57,92],"learning":[58,97,100],"(DL)":[59],"has":[60],"made":[61],"considerable":[62],"progress":[63],"computer-":[65],"aided":[66],"diagnosis":[67,80],"(CAD).":[68],"However,":[69],"there":[70],"no":[73],"studies":[74],"that":[75,220],"apply":[76],"DL":[77,254],"PF.":[82],"To":[83,171],"achieve":[84],"robust":[85],"PF":[86,188,206],"classification,":[87],"this":[88],"paper":[89],"builds":[90],"a":[91,121,125,129,145,149,205,212],"Siamese":[93,130,133],"framework":[94],"with":[95,252],"multitask":[96,122,159],"transfer":[99],"(DS-MLTL),":[101],"which":[102,200],"learns":[103],"discriminative":[104],"visual":[105,155],"features":[106,156,236],"recognition":[109],"functions":[110],"using":[111],"2D-SWE.":[112],"The":[113,132],"DS-MLTL":[114,174,222,245],"model":[115,175,178,192],"comprises":[116],"two":[117],"VGG-style":[118],"branches":[119],"loss":[123,127,134,160],"including":[124],"classification":[126,189],"loss.":[131],"leverages":[135],"intrinsic":[137],"structure":[138],"(similarities)":[139],"different":[141,253],"contains":[144,201],"contrastive":[146],"constraint":[147],"similar":[150],"constraint.":[151],"our":[153],"framework,":[154],"are":[161],"learned":[162],"jointly,":[163],"they":[165],"can":[166],"benefit":[167],"from":[168,181,238],"each":[169],"other.":[170],"train":[172],"effectively,":[176],"transfers":[179],"knowledge":[180],"large-scale":[183],"ImageNet":[184],"dataset":[185,196],"task.":[190],"For":[191],"evaluation,":[193],"SWE":[195],"fascia,":[199],"282":[202],"60":[209],"healthy":[213],"pattern,":[214],"collected.":[216],"Experimental":[217],"results":[218],"show":[219],"achieves":[224],"favorable":[225],"accuracy":[226],"85.09":[228],"\u00b1":[229],"6.67%":[230],"performs":[232],"better":[233],"than":[234],"human-crafted":[235],"extracted":[237],"B-mode":[239],"SWE.":[242],"addition,":[244],"also":[246],"obtains":[247],"best":[249],"performance":[250],"compared":[251],"models.":[255]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
