{"id":"https://openalex.org/W2794200904","doi":"https://doi.org/10.1117/12.2293310","title":"Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment","display_name":"Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment","publication_year":2018,"publication_date":"2018-02-27","ids":{"openalex":"https://openalex.org/W2794200904","doi":"https://doi.org/10.1117/12.2293310","mag":"2794200904"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293310","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293310","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","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/A5072988773","display_name":"Pak Hei Yeung","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pak Hei Yeung","raw_affiliation_strings":["The Univ. of Hong Kong (Hong Kong, China)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Hong Kong (Hong Kong, China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042948835","display_name":"York Kiat Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I2251586001","display_name":"Singapore General Hospital","ror":"https://ror.org/036j6sg82","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I2251586001"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"York Kiat Tan","raw_affiliation_strings":["Singapore General Hospital (Singapore)"],"affiliations":[{"raw_affiliation_string":"Singapore General Hospital (Singapore)","institution_ids":["https://openalex.org/I2251586001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109210627","display_name":"Shuoyu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoyu Xu","raw_affiliation_strings":["Sun Yat-Sen Univ. Cancer Ctr. (China)"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen Univ. Cancer Ctr. (China)","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072988773"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2003,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54112259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10200","display_name":"Rheumatoid Arthritis Research and Therapies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10200","display_name":"Rheumatoid Arthritis Research and Therapies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10308","display_name":"Systemic Lupus Erythematosus Research","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T12800","display_name":"Musculoskeletal synovial abnormalities and treatments","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/rheumatoid-arthritis","display_name":"Rheumatoid arthritis","score":0.730397641658783},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6230162978172302},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.531139075756073},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5218345522880554},{"id":"https://openalex.org/keywords/doppler-ultrasound","display_name":"Doppler ultrasound","score":0.490624338388443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48332974314689636},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.47631677985191345},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.47017234563827515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4312555193901062},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4302806258201599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40148797631263733},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.35430610179901123},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1875852346420288},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06461009383201599}],"concepts":[{"id":"https://openalex.org/C2777575956","wikidata":"https://www.wikidata.org/wiki/Q187255","display_name":"Rheumatoid arthritis","level":2,"score":0.730397641658783},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6230162978172302},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.531139075756073},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5218345522880554},{"id":"https://openalex.org/C2988078883","wikidata":"https://www.wikidata.org/wiki/Q109374671","display_name":"Doppler ultrasound","level":2,"score":0.490624338388443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48332974314689636},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.47631677985191345},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.47017234563827515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4312555193901062},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4302806258201599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40148797631263733},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.35430610179901123},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1875852346420288},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06461009383201599},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293310","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293310","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1979393293","https://openalex.org/W2011585383","https://openalex.org/W2033304520","https://openalex.org/W2064400859","https://openalex.org/W2079058385","https://openalex.org/W2083827484","https://openalex.org/W2127445886","https://openalex.org/W2132116135","https://openalex.org/W2137293831","https://openalex.org/W2139383790","https://openalex.org/W2158553264","https://openalex.org/W2167488860","https://openalex.org/W2245703757","https://openalex.org/W3006080604","https://openalex.org/W6658723557","https://openalex.org/W6683367927"],"related_works":["https://openalex.org/W1522196789","https://openalex.org/W1584150195","https://openalex.org/W2391032286","https://openalex.org/W2507281519","https://openalex.org/W1987801656","https://openalex.org/W2402431936","https://openalex.org/W2759691431","https://openalex.org/W2316725469","https://openalex.org/W1965890187","https://openalex.org/W2086783867"],"abstract_inverted_index":{"We":[0],"need":[1],"better":[2],"clinical":[3],"tools":[4],"to":[5,47,113,123],"improve":[6],"monitoring":[7],"of":[8,38,182,202,217,224,240],"synovitis,":[9],"synovial":[10],"inflammation":[11],"in":[12,15,40,64,80,87,166],"the":[13,65,88,130,142,199,214,221,238],"joints,":[14,68,75],"rheumatoid":[16],"arthritis":[17],"(RA)":[18],"assessment.":[19,83],"Given":[20],"its":[21],"economical,":[22],"safe":[23],"and":[24,45,57,72,109,159,212,246],"fast":[25],"characteristics,":[26],"ultrasound":[27,31],"(US)":[28],"especially":[29],"Doppler":[30],"is":[32,43,91,120,146,196,249],"frequently":[33],"used.":[34],"However,":[35],"manual":[36],"scoring":[37],"synovitis":[39],"US":[41,89,162],"images":[42,163],"subjective":[44],"prone":[46],"observer":[48],"variations.":[49],"In":[50],"this":[51,167],"study,":[52],"we":[53],"propose":[54],"a":[55,96],"new":[56],"robust":[58],"method":[59,176,245],"for":[60,104],"automated":[61,210],"synovium":[62,126,145,253],"segmentation":[63,211,241],"commonly":[66],"affected":[67],"i.e.":[69],"metacarpophalangeal":[70],"(MCP)":[71],"metatarsophalangeal":[73],"(MTP)":[74],"which":[76],"would":[77],"facilitate":[78],"automation":[79],"quantitative":[81],"RA":[82],"The":[84],"bone":[85,107,116,132],"contour":[86,133],"image":[90,111],"firstly":[92],"detected":[93],"based":[94],"on":[95],"modified":[97],"dynamic":[98],"programming":[99],"method,":[100],"incorporating":[101],"angular":[102],"information":[103],"detecting":[105],"curved":[106],"surface":[108],"using":[110,153],"fuzzification":[112],"identify":[114],"missing":[115],"structure.":[117],"K-means":[118],"clustering":[119],"then":[121],"performed":[122,184],"initialize":[124],"potential":[125],"areas":[127],"by":[128,148,173,185,242,247,258],"utilizing":[129],"identified":[131,147],"as":[134,177,179],"boundary":[135],"reference.":[136],"After":[137],"excluding":[138],"invalid":[139],"candidate":[140,151],"regions,":[141],"final":[143],"segmented":[144],"reconnecting":[149],"remaining":[150],"regions":[152],"level":[154],"set":[155,216,223],"evolution.":[156],"15":[157,160],"MCP":[158],"MTP":[161],"were":[164,192],"analyzed":[165],"study.":[168],"For":[169],"each":[170],"image,":[171],"segmentations":[172],"our":[174,243,259],"proposed":[175,244,260],"well":[178],"two":[180,200],"sets":[181,201],"annotations":[183,218,225],"an":[186],"experienced":[187],"clinician":[188,248],"at":[189],"different":[190],"time-points":[191],"acquired.":[193],"Dice\u2019s":[194,205],"coefficient":[195],"0.77±0.12":[197],"between":[198,209],"annotations.":[203],"Similar":[204],"coefficients":[206],"are":[207],"achieved":[208],"either":[213],"first":[215],"(0.76±0.12)":[219],"or":[220],"second":[222],"(0.75±0.11),":[226],"with":[227],"no":[228],"significant":[229],"difference":[230],"(P":[231],"=":[232],"0.77).":[233],"These":[234],"results":[235],"verify":[236],"that":[237],"accuracy":[239],"comparable.":[250],"Therefore,":[251],"reliable":[252],"identification":[254],"can":[255],"be":[256],"made":[257],"method.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}