{"id":"https://openalex.org/W4401751820","doi":"https://doi.org/10.1109/isbi56570.2024.10635557","title":"Adaptive Multi-Scale Strategy for Deep Reinforcement Learning Based 3D Ear Fenestra Vestibuli Landmark Localization in U-HRCT Images","display_name":"Adaptive Multi-Scale Strategy for Deep Reinforcement Learning Based 3D Ear Fenestra Vestibuli Landmark Localization in U-HRCT Images","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401751820","doi":"https://doi.org/10.1109/isbi56570.2024.10635557"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635557","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5054250124","display_name":"Zhiwei Qu","orcid":"https://orcid.org/0000-0001-9886-914X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Qu","raw_affiliation_strings":["Beiing University of Technology,Faculty of Information Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beiing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448036","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-9937-2669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Beiing University of Technology,Faculty of Information Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beiing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373866","display_name":"Xiaoguang Li","orcid":"https://orcid.org/0000-0002-7307-6263"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Li","raw_affiliation_strings":["Beiing University of Technology,Faculty of Information Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beiing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100511987","display_name":"Yin Hongxia","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210147433","display_name":"Beijing Friendship Hospital","ror":"https://ror.org/053qy4437","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxia Yin","raw_affiliation_strings":["Capital Medical University,Department of Radiology, Beijing Friendship Hospital,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Medical University,Department of Radiology, Beijing Friendship Hospital,Beijing,China","institution_ids":["https://openalex.org/I4210147433","https://openalex.org/I183519381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115595037","display_name":"Zhenchang Wang","orcid":"https://orcid.org/0000-0001-8190-6469"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210147433","display_name":"Beijing Friendship Hospital","ror":"https://ror.org/053qy4437","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchang Wang","raw_affiliation_strings":["Capital Medical University,Department of Radiology, Beijing Friendship Hospital,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Medical University,Department of Radiology, Beijing Friendship Hospital,Beijing,China","institution_ids":["https://openalex.org/I4210147433","https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.9188382625579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943155884742737},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5834736227989197},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4839932918548584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4694995880126953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41480255126953125},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3801686465740204},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3449417054653168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13802099227905273}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9188382625579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943155884742737},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5834736227989197},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4839932918548584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4694995880126953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41480255126953125},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3801686465740204},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3449417054653168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13802099227905273},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635557","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321793","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2526653212","https://openalex.org/W2746553466","https://openalex.org/W2771590529","https://openalex.org/W2903819949","https://openalex.org/W2979352690","https://openalex.org/W3027392765","https://openalex.org/W3035565332","https://openalex.org/W3098592896","https://openalex.org/W3119799251","https://openalex.org/W4221104574","https://openalex.org/W4224979758","https://openalex.org/W4225984880","https://openalex.org/W6684921986","https://openalex.org/W6685444567"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W4243161226"],"abstract_inverted_index":{"The":[0],"fenestra":[1,26,88,131],"vestibuli":[2,27,89,132],"is":[3,58,83,143],"one":[4],"of":[5,10,24,37,101,124,168,179],"the":[6,21,25,34,52,95,129,137,147,153,159,164,169,176,183],"main":[7],"incidence":[8],"sites":[9],"some":[11],"ear":[12,39,87],"diseases":[13],"such":[14],"as":[15],"otosclerosis":[16],"and":[17,66,98,113],"neurological":[18],"deafness.":[19],"Therefore,":[20],"automatic":[22],"localization":[23,55,115,133,141,162],"has":[28],"become":[29],"a":[30,121],"key":[31],"task":[32],"in":[33,73],"intelligent":[35],"analysis":[36],"3D":[38,86],"CT":[40],"images.":[41],"Localization":[42],"methods":[43],"based":[44],"on":[45,128,152],"deep":[46],"reinforcement":[47],"learning":[48],"(DRL)":[49],"usually":[50],"adopts":[51],"fixed-scale":[53],"multi-stage":[54],"strategy,":[56,163],"which":[57,92],"time-consuming":[59],"due":[60],"to":[61],"training":[62,184],"multiple":[63],"scale":[64,107],"models,":[65],"cannot":[67],"deal":[68],"with":[69,146,158],"tiny":[70],"targets":[71],"well":[72,144],"abnormal":[74,154],"samples.":[75],"In":[76],"this":[77],"paper,":[78],"an":[79,105],"adaptive":[80,106,139],"multi-scale":[81,140,161],"strategy":[82,142,171],"proposed":[84,138,170],"for":[85],"landmark":[90],"localization,":[91],"automatically":[93],"adjusts":[94],"receptive":[96],"field":[97],"step":[99],"size":[100],"agent":[102],"by":[103,173,188],"introducing":[104],"vector":[108],"into":[109],"DRL":[110,149],"algorithms.":[111,150],"Accurate":[112],"robust":[114],"results":[116,127],"can":[117],"be":[118],"achieved":[119],"after":[120],"single":[122],"stage":[123],"training.":[125],"Experimental":[126],"self-built":[130],"dataset":[134],"show":[135],"that,":[136],"compatible":[145],"existing":[148],"Especially":[151],"test":[155],"set,":[156],"compared":[157],"fixed":[160],"successful":[165],"detection":[166],"rate":[167],"increased":[172],"9.29%":[174],"within":[175],"precision":[177],"range":[178],"2.60":[180],"mm,":[181],"while":[182],"time":[185],"have":[186],"decreased":[187],"30%.":[189]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}