{"id":"https://openalex.org/W4225005524","doi":"https://doi.org/10.1109/isbi52829.2022.9761435","title":"MSRT: Multi-Scale Spatial Regularization Transformer For Multi-Label Classification in Calcaneus Radiograph","display_name":"MSRT: Multi-Scale Spatial Regularization Transformer For Multi-Label Classification in Calcaneus Radiograph","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225005524","doi":"https://doi.org/10.1109/isbi52829.2022.9761435"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761435","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th 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/A5076873504","display_name":"Yuxuan Mu","orcid":"https://orcid.org/0000-0001-7132-3155"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxuan Mu","raw_affiliation_strings":["Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698809","display_name":"He Zhao","orcid":"https://orcid.org/0000-0002-3988-2851"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhao","raw_affiliation_strings":["Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765883","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0002-8859-9809"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqi Li","raw_affiliation_strings":["Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076873504"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.7435,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60588235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.977400004863739,"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"}},{"id":"https://openalex.org/T13374","display_name":"Hematological disorders and diagnostics","score":0.9516000151634216,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/calcaneus","display_name":"Calcaneus","score":0.7484878301620483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6449242830276489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097325086593628},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.528242290019989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49006569385528564},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.43294116854667664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4328973889350891},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12446251511573792},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11615541577339172}],"concepts":[{"id":"https://openalex.org/C2776889875","wikidata":"https://www.wikidata.org/wiki/Q13075","display_name":"Calcaneus","level":2,"score":0.7484878301620483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6449242830276489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097325086593628},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.528242290019989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49006569385528564},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.43294116854667664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4328973889350891},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12446251511573792},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11615541577339172},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761435","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2884585870","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2997136715","https://openalex.org/W3000295996","https://openalex.org/W3089555680","https://openalex.org/W3094502228","https://openalex.org/W3157367143","https://openalex.org/W6743731764","https://openalex.org/W6753412334","https://openalex.org/W6772833837","https://openalex.org/W6783953079","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W3139351773","https://openalex.org/W2441412215","https://openalex.org/W3201075493","https://openalex.org/W4367360544","https://openalex.org/W2372655788","https://openalex.org/W1976777594","https://openalex.org/W2261890142","https://openalex.org/W1976309294","https://openalex.org/W2368292759","https://openalex.org/W2351128183"],"abstract_inverted_index":{"Calcaneus":[0],"fracture":[1,16,98],"is":[2,19,44,64,77],"one":[3],"of":[4,27,50,92],"the":[5,25,48,51,57],"most":[6],"common":[7],"fractures":[8],"which":[9],"affect":[10],"daily":[11],"life":[12],"quality.":[13],"However,":[14],"calcaneus":[15,97],"subtype":[17],"classification":[18],"a":[20,72],"challenging":[21],"task":[22],"due":[23],"to":[24,46,66,79],"nature":[26],"multi-label":[28],"as":[29,31],"well":[30],"limited":[32],"annotated":[33],"data.":[34],"In":[35],"this":[36],"paper,":[37],"an":[38,90],"augmentation":[39],"strategy":[40],"called":[41],"GridDropIn&Out":[42],"(GDIO)":[43],"proposed":[45],"increase":[47],"uncertainty":[49],"rough":[52],"input":[53],"mask":[54],"and":[55],"enlarge":[56],"dataset.":[58],"A":[59],"spatial":[60,69,81],"regularization":[61],"transformer":[62],"(SRT)":[63],"designed":[65],"capture":[67],"labels'":[68],"information,":[70],"while":[71],"multi-scale":[73],"attention":[74],"SRT":[75],"(MSRT)":[76],"built":[78],"synthesize":[80],"features":[82],"from":[83],"different":[84],"levels.":[85],"Our":[86],"final":[87],"proposal":[88],"achieves":[89],"mAP":[91],"87.54%":[93],"in":[94],"classifying":[95],"six":[96],"types.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
