{"id":"https://openalex.org/W3164810766","doi":"https://doi.org/10.1109/isbi48211.2021.9433822","title":"The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization","display_name":"The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164810766","doi":"https://doi.org/10.1109/isbi48211.2021.9433822","mag":"3164810766"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","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/A5101010834","display_name":"Tao Xing","orcid":"https://orcid.org/0009-0000-7118-2348"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Tao","raw_affiliation_strings":["School of Biomedical Engineering, Health Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102022221","display_name":"Chenglang Yuan","orcid":"https://orcid.org/0000-0003-3459-5586"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglang Yuan","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056289980","display_name":"Cheng Bian","orcid":"https://orcid.org/0000-0003-3498-8283"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Bian","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710180","display_name":"Yuexiang Li","orcid":"https://orcid.org/0000-0001-8076-2619"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexiang Li","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621577","display_name":"Kai Ma","orcid":"https://orcid.org/0000-0003-2805-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ma","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065374358","display_name":"Dong Ni","orcid":"https://orcid.org/0000-0002-9146-6003"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ni","raw_affiliation_strings":["School of Biomedical Engineering, Health Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101010834"],"corresponding_institution_ids":["https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":0.3706,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56636166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1284","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/glaucoma","display_name":"Glaucoma","score":0.7997006177902222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6507447361946106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6346598267555237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4924648702144623},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.32462796568870544},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.32202669978141785},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28170037269592285}],"concepts":[{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.7997006177902222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6507447361946106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6346598267555237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4924648702144623},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.32462796568870544},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.32202669978141785},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28170037269592285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2057266151","https://openalex.org/W2145494108","https://openalex.org/W2160605010","https://openalex.org/W2293363371","https://openalex.org/W2307770531","https://openalex.org/W2566969499","https://openalex.org/W2912693582","https://openalex.org/W2963131444","https://openalex.org/W2964221239","https://openalex.org/W2979632994","https://openalex.org/W2998191925","https://openalex.org/W3034399482","https://openalex.org/W6639824700","https://openalex.org/W6681588610","https://openalex.org/W6697925102","https://openalex.org/W6761442308","https://openalex.org/W6770878628"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Primary":[0],"angle-closure":[1],"glaucoma":[2,9],"(PACG)":[3],"is":[4,11,25,45],"a":[5,179,185],"major":[6],"sub-type":[7],"of":[8,15,23,43,50,119,127,181,220],"that":[10],"responsible":[12],"for":[13,87,138,207],"half":[14],"the":[16,41,48,65,99,103,120,125,139,163,167,196,205,208,218,221],"glaucoma-related":[17],"blindness":[18],"worldwide.":[19],"The":[20],"early":[21],"detection":[22,137,188],"PACG":[24,44],"very":[26],"important,":[27],"so":[28],"as":[29,142],"to":[30,80,83,154,166,183,190,216],"provide":[31],"timely":[32],"treatment":[33],"and":[34,91,101,146,171,199],"prevent":[35],"potential":[36],"irreversible":[37],"vision":[38],"loss.":[39],"Clinically,":[40],"diagnosis":[42],"based":[46],"on":[47,76,105,135,156],"evaluation":[49],"anterior":[51,56],"chamber":[52],"angle":[53,88],"(ACA)":[54],"with":[55,158],"segment":[57],"optical":[58],"coherence":[59],"tomography":[60],"(AS-OCT).":[61],"To":[62],"this":[63,109,175],"end,":[64],"Angle":[66],"closure":[67,89],"Glaucoma":[68],"Evaluation":[69],"(AGE)":[70],"challenge":[71],"<sup":[72,224],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[73,225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[74,226],"held":[75],"MICCAI":[77],"2019":[78],"aims":[79],"encourage":[81,184],"researchers":[82],"develop":[84],"automated":[85],"systems":[86],"classification":[90],"scleral":[92,128,159],"spur":[93,129,160],"(SS)":[94],"localization.":[95,130,211],"We":[96],"participated":[97],"in":[98,116,162],"competition":[100],"won":[102],"championship":[104],"both":[106],"tasks.":[107],"In":[108,174],"paper,":[110],"we":[111,177],"share":[112],"some":[113],"ideas":[114],"adopted":[115],"our":[117],"entry":[118],"competition,":[121],"which":[122],"significantly":[123],"improve":[124],"accuracy":[126],"There":[131],"are":[132,152,214],"extensive":[133],"literatures":[134],"keypoint":[136,145,187],"tasks":[140],"such":[141],"human":[143],"body":[144],"facial":[147],"landmark":[148],"detection.":[149],"However,":[150],"they":[151],"proven":[153],"fail":[155],"dealing":[157],"localization":[161],"experiments,":[164],"due":[165],"gap":[168],"between":[169],"natural":[170],"medical":[172],"images.":[173],"regard,":[176],"propose":[178],"set":[180],"constraints":[182],"two-stage":[186],"framework":[189],"spontaneously":[191],"exploit":[192],"diverse":[193],"information,":[194],"including":[195],"image-level":[197],"knowledge":[198],"contextual":[200],"information":[201],"around":[202],"SS,":[203],"from":[204],"AS-OCT":[206],"accurate":[209],"SS":[210],"Extensive":[212],"experiments":[213],"conducted":[215],"demonstrate":[217],"effectiveness":[219],"proposed":[222],"constraints.":[223],"https://age.grand-challenge.org/":[227]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}