{"id":"https://openalex.org/W7162012759","doi":"https://doi.org/10.1007/s11517-026-03576-2","title":"Dual sagittal-guided coarse-to-fine rib segmentation and numbering in chest CT","display_name":"Dual sagittal-guided coarse-to-fine rib segmentation and numbering in chest CT","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162012759","doi":"https://doi.org/10.1007/s11517-026-03576-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/42171638"},"language":"en","primary_location":{"id":"doi:10.1007/s11517-026-03576-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-026-03576-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-026-03576-2.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical & Biological Engineering & Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11517-026-03576-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102616235","display_name":"Seonghyeon Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonghyeon Ko","raw_affiliation_strings":["Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea. shko0215@skku.edu"],"raw_orcid":"https://orcid.org/0009-0004-1407-8420","affiliations":[{"raw_affiliation_string":"Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea. shko0215@skku.edu","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041230893","display_name":"Duc-Tai Le","orcid":"https://orcid.org/0000-0002-5286-6629"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duc-Tai Le","raw_affiliation_strings":["Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002879117","display_name":"Junghyun Bum","orcid":"https://orcid.org/0000-0002-9926-2910"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junghyun Bum","raw_affiliation_strings":["College of Computing and Informatics, Sungkyunkwan University, Suwon, Korea. bumjh@skku.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Sungkyunkwan University, Suwon, Korea. bumjh@skku.edu","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136667606","display_name":"Hyunseung Choo","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunseung Choo","raw_affiliation_strings":["Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea. choo@skku.edu","Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea. choo@skku.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Systems Engineering, Sungkyunkwan University, Suwon, Korea. choo@skku.edu","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea. choo@skku.edu","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5136667606"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7011213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"64","issue":"6","first_page":"2405","last_page":"2419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.23019999265670776,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.23019999265670776,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.10170000046491623,"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/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.09679999947547913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7940000295639038},{"id":"https://openalex.org/keywords/rib-cage","display_name":"Rib cage","score":0.6693999767303467},{"id":"https://openalex.org/keywords/sagittal-plane","display_name":"Sagittal plane","score":0.6389999985694885},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4912000000476837},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.35040000081062317},{"id":"https://openalex.org/keywords/numbering","display_name":"Numbering","score":0.3456000089645386}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7940000295639038},{"id":"https://openalex.org/C160306043","wikidata":"https://www.wikidata.org/wiki/Q2576226","display_name":"Rib cage","level":2,"score":0.6693999767303467},{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.6389999985694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651999711990356},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.35040000081062317},{"id":"https://openalex.org/C191916993","wikidata":"https://www.wikidata.org/wiki/Q362019","display_name":"Numbering","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28870001435279846},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2816999852657318},{"id":"https://openalex.org/C97834683","wikidata":"https://www.wikidata.org/wiki/Q942508","display_name":"Thorax (insect anatomy)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C44000306","wikidata":"https://www.wikidata.org/wiki/Q244330","display_name":"Hinge","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2540999948978424}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012272","descriptor_name":"Ribs","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/s11517-026-03576-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-026-03576-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-026-03576-2.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical & Biological Engineering & Computing","raw_type":"journal-article"},{"id":"pmid:42171638","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42171638","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical & biological engineering & computing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13269551","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13269551/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Med Biol Eng Comput","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11517-026-03576-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-026-03576-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-026-03576-2.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical & Biological Engineering & Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6273884773254395}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321378","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7162012759.pdf","grobid_xml":"https://content.openalex.org/works/W7162012759.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2050622035","https://openalex.org/W2111845608","https://openalex.org/W2158083918","https://openalex.org/W2519421578","https://openalex.org/W3094029104","https://openalex.org/W3099409464","https://openalex.org/W3132434189","https://openalex.org/W3136424010","https://openalex.org/W3185080952","https://openalex.org/W3195378482","https://openalex.org/W3201016307","https://openalex.org/W3201155976","https://openalex.org/W3210538021","https://openalex.org/W4283011583","https://openalex.org/W4290878882","https://openalex.org/W4321498402","https://openalex.org/W4360996144","https://openalex.org/W4386590633","https://openalex.org/W4392107092","https://openalex.org/W4396928908","https://openalex.org/W4401750506","https://openalex.org/W4402865541","https://openalex.org/W4407671545","https://openalex.org/W4408353598","https://openalex.org/W4409474287","https://openalex.org/W4409561152","https://openalex.org/W4410145932","https://openalex.org/W4410634711","https://openalex.org/W4413822138"],"related_works":[],"abstract_inverted_index":{"Rib":[0,56,221],"identification":[1],"in":[2,85],"chest":[3],"CT":[4,15],"is":[5,40],"time-consuming":[6],"and":[7,61,78,104,126,159,174,193,202,208],"labor-intensive,":[8],"as":[9],"clinicians":[10],"repetitively":[11],"examine":[12],"hundreds":[13],"of":[14,47,90,176,191,195],"slices":[16,77,120],"to":[17,107,115,163,217,229],"pinpoint":[18],"a":[19,23,59,94,111,132,150,181,188],"certain":[20],"rib":[21,27,37,64,72,135,140,153,169,183,210],"on":[22,35],"random":[24],"slice.":[25],"Computer-aided":[26],"numbering":[28,222],"tools":[29],"exist,":[30],"however,":[31],"their":[32],"performance":[33],"hinges":[34],"precise":[36],"segmentation":[38,65,170,184],"which":[39,97],"challenged":[41],"by":[42,200,214],"missing":[43],"ribs":[44],"or":[45,167],"oversegmentation":[46],"adjacent":[48],"bone":[49],"structures.":[50],"We":[51],"propose":[52],"Dual":[53],"sagittal-guided":[54],"Coarse-to-fine":[55],"Segmentation":[57],"(DCRS),":[58],"lightweight":[60,112],"practical":[62],"3D":[63,81,134,144],"approach":[66,148],"that":[67,137],"coarsely":[68],"captures":[69],"the":[70,99,157,177,218],"entire":[71],"structure":[73],"within":[74],"2":[75],"sagittal":[76,119,124,139],"finely":[79],"constructs":[80],"ribs.":[82,145],"DCRS":[83,179,186,205],"operates":[84],"three":[86],"stages:":[87],"(1)":[88],"Region":[89],"Non-Interest":[91],"(RONI)":[92],"removal,":[93],"preprocessing":[95],"stage":[96],"excludes":[98],"soft":[100],"tissues,":[101],"spine,":[102],"sternum,":[103],"transverse":[105],"processes":[106],"isolate":[108],"ribs;":[109,125],"(2)":[110],"U-Net":[113],"applied":[114],"only":[116,224],"two":[117],"representative":[118],"for":[121],"obtaining":[122],"coarse":[123,164],"(3)":[127],"Six-Neighborhood":[128],"Outward":[129],"Flood-Filling":[130],"(SNOFF),":[131],"fine":[133],"construction":[136],"expands":[138],"predictions":[141],"into":[142],"full":[143],"This":[146],"coarse-to-fine":[147],"ensures":[149],"complete":[151],"12-pair":[152],"mask":[154],"while":[155],"decreasing":[156],"complexity":[158],"computational":[160],"cost":[161],"compared":[162,216],"slice,":[165],"patch,":[166],"point-cloud-wise":[168],"methods.":[171],"The":[172],"training":[173],"testing":[175],"proposed":[178],"utilize":[180],"public":[182],"dataset.":[185],"achieves":[187],"Dice":[189],"score":[190],"92.83%":[192],"IoU":[194],"88.21%,":[196],"exceeding":[197],"prior":[198,219],"state-of-the-art":[199],"3.1%":[201],"4.1%,":[203],"respectively.":[204],"enables":[206],"fast":[207],"reliable":[209],"numbering,":[211],"increasing":[212],"throughput":[213],"44%":[215],"state-of-the-art.":[220],"takes":[223],"0.5%":[225],"additional":[226],"time":[227],"relative":[228],"standard":[230],"CT,":[231],"highlighting":[232],"its":[233],"clinical":[234],"practicality.":[235]},"counts_by_year":[],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2026-05-22T00:00:00"}