{"id":"https://openalex.org/W4402351650","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650982","title":"BonCC:A Lightweight TW3-based Bone Age Assessment Coordinate Classification Model","display_name":"BonCC:A Lightweight TW3-based Bone Age Assessment Coordinate Classification Model","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351650","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650982"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5113373640","display_name":"Jingda Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingda Xiao","raw_affiliation_strings":["Xiamen University,School of Public Health,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Public Health,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027924825","display_name":"Yulin Huang","orcid":"https://orcid.org/0000-0003-3930-9323"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Huang","raw_affiliation_strings":["Xiamen University,School of Public Health,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Public Health,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319799","display_name":"Jianxiong Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiong Guan","raw_affiliation_strings":["Xiamen University,School of Public Health,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Public Health,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108982259","display_name":"Shaoxian Ma","orcid":"https://orcid.org/0009-0007-3506-6690"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoxian Ma","raw_affiliation_strings":["Xiamen University,School of Public Health,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Public Health,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640211","display_name":"Dongxu Zhang","orcid":"https://orcid.org/0009-0002-3950-5084"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Zhang","raw_affiliation_strings":["Xiamen University,School of Public Health,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Public Health,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113373640"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":3.0066,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91748138,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.984499990940094,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9453999996185303,"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/computer-science","display_name":"Computer science","score":0.5879590511322021},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3288711905479431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879590511322021},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3288711905479431}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":41,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2113325037","https://openalex.org/W2136391815","https://openalex.org/W2146294536","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2592765733","https://openalex.org/W2604375920","https://openalex.org/W2903408278","https://openalex.org/W2916798096","https://openalex.org/W2918321871","https://openalex.org/W2935090763","https://openalex.org/W2949208911","https://openalex.org/W2952819818","https://openalex.org/W2963402313","https://openalex.org/W2963598138","https://openalex.org/W2963781481","https://openalex.org/W2964221239","https://openalex.org/W2979871943","https://openalex.org/W2988211500","https://openalex.org/W2993728126","https://openalex.org/W3034399482","https://openalex.org/W3034750257","https://openalex.org/W3088551258","https://openalex.org/W3113950706","https://openalex.org/W3124860842","https://openalex.org/W3148489522","https://openalex.org/W4214508443","https://openalex.org/W4229890965","https://openalex.org/W4285213947","https://openalex.org/W4312914534","https://openalex.org/W4313127332","https://openalex.org/W4321490634","https://openalex.org/W4327486298","https://openalex.org/W6680285999","https://openalex.org/W6685767362","https://openalex.org/W6730410022","https://openalex.org/W6731370813","https://openalex.org/W6769884363","https://openalex.org/W6811456798","https://openalex.org/W6851225979"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W2358668433","https://openalex.org/W3186982001","https://openalex.org/W1984402782"],"abstract_inverted_index":{"Bone":[0],"age":[1,26,43,54,216],"is":[2,57,99,179],"an":[3],"important":[4],"indicator":[5],"of":[6,23,41,61,74,81,88,158,200,211,225],"children's":[7,24],"growth":[8],"and":[9,11,17,96,124,146,174],"development,":[10],"using":[12],"deep":[13],"learning":[14],"to":[15,155,181],"rapidly":[16],"accurately":[18],"assist":[19],"in":[20,52,103,222,237],"the":[21,38,47,72,75,79,86,148,152,168,172,176,183,196,208,223],"assessment":[22,40],"bone":[25,42,53,215],"has":[27],"become":[28],"a":[29,58,100,188,232],"current":[30,104],"popular":[31],"trend.":[32],"There":[33],"are":[34],"many":[35],"methods":[36],"for":[37,129,143,191],"automatic":[39],"that":[44,219],"draw":[45],"from":[46],"Tanner-Whitehouse":[48],"3":[49],"(TW3)":[50],"method":[51,60,136,178],"assessment,":[55],"which":[56,118],"two-stage":[59],"\"keypoint":[62],"detection\u2014skeletal":[63],"staging":[64,76,94],"prediction.\"":[65],"However,":[66],"existing":[67],"research":[68],"often":[69],"focuses":[70],"on":[71,113,207],"design":[73],"model,":[77],"neglecting":[78],"importance":[80],"keypoint":[82,89,132,227],"detection.":[83],"In":[84],"fact,":[85],"accuracy":[87],"detection":[90,203,228],"directly":[91],"influences":[92],"subsequent":[93,197],"outcomes,":[95],"thus":[97],"this":[98],"weak":[101],"point":[102],"studies.":[105],"This":[106],"paper":[107],"proposes":[108],"structure":[109,170],"called":[110],"BonCC":[111,220],"based":[112],"Simple":[114],"Coordinate":[115],"Classification":[116],"(SimCC),":[117],"integrates":[119],"Feature":[120],"Pyramid":[121],"Network":[122],"(FPN)":[123],"Guided":[125],"Attention":[126],"Unit":[127],"(GAU)":[128],"hand":[130,226],"skeletal":[131],"localization.":[133],"The":[134],"overall":[135],"uses":[137],"mainstream":[138],"Backbone":[139],"such":[140],"as":[141],"ResNet-50":[142],"feature":[144,149,153],"extraction":[145],"inputs":[147],"map":[150],"into":[151,167,187],"pyramid":[154],"fuse":[156],"semantics":[157],"different":[159],"levels.":[160],"It":[161],"then":[162],"elegantly":[163],"incorporates":[164],"self-attention":[165],"mechanisms":[166],"network":[169],"through":[171],"GAU,":[173],"finally,":[175],"SimCC":[177],"used":[180],"transform":[182],"2D":[184],"coordinate":[185,193],"regression":[186],"classification":[189],"problem":[190],"two":[192],"axes,":[194],"avoiding":[195],"computational":[198],"processing":[199],"traditional":[201],"pose":[202],"methods.":[204],"Experiments":[205],"conducted":[206],"Radiological":[209],"Society":[210],"North":[212],"America":[213],"(RSNA)":[214],"dataset":[217],"demonstrate":[218],"excels":[221],"precision":[224],"while":[229],"still":[230],"achieving":[231],"lightweight":[233],"design,":[234],"especially":[235],"notable":[236],"low-resolution":[238],"situations.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
