{"id":"https://openalex.org/W7161019684","doi":"https://doi.org/10.48550/arxiv.2605.11748","title":"BronchoLumen: Analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy","display_name":"BronchoLumen: Analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161019684","doi":"https://doi.org/10.48550/arxiv.2605.11748"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11748","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136056931","display_name":"Yongchao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yongchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136088203","display_name":"Marian Himstedt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Himstedt, Marian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.5857999920845032,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.5857999920845032,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09350000321865082,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.0689999982714653,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6776999831199646},{"id":"https://openalex.org/keywords/bronchoscopy","display_name":"Bronchoscopy","score":0.6251999735832214},{"id":"https://openalex.org/keywords/body-orifice","display_name":"Body orifice","score":0.4586000144481659},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4133000075817108},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3693000078201294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3287000060081482}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6776999831199646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6485000252723694},{"id":"https://openalex.org/C2778996910","wikidata":"https://www.wikidata.org/wiki/Q237232","display_name":"Bronchoscopy","level":2,"score":0.6251999735832214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051999926567078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695000290870667},{"id":"https://openalex.org/C194242075","wikidata":"https://www.wikidata.org/wiki/Q546776","display_name":"Body orifice","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4133000075817108},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3107999861240387},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C2780314925","wikidata":"https://www.wikidata.org/wiki/Q181602","display_name":"Bronchus","level":4,"score":0.26660001277923584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26570001244544983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Bronchoscopy":[0],"is":[1,115,193],"routinely":[2],"conducted":[3,116],"in":[4,34,189,237],"pulmonary":[5],"clinics":[6],"and":[7,41,61,74,82,99,123,142,152,164,171,177,205],"intensive":[8],"care":[9],"units,":[10],"but":[11,183],"navigating":[12],"the":[13,17,72,119,126,184,212],"complex":[14],"branching":[15],"of":[16,65,76,112,137,162],"respiratory":[18],"tract":[19],"remains":[20],"challenging.":[21],"This":[22],"paper":[23,45],"introduces":[24],"BronchoLumen,":[25],"a":[26,62,78,84,135,145,222],"real-time":[27],"YOLO-based":[28,196],"system":[29,185],"for":[30,198],"detecting":[31],"bronchial":[32,48,199],"orifices":[33,49],"video":[35],"bronchoscopy,":[36],"aiming":[37],"to":[38,91,167,233],"assist":[39],"navigation":[40],"CAD":[42],"systems.":[43],"The":[44,69,226],"investigates":[46],"if":[47],"can":[50],"be":[51],"robustly":[52],"detected":[53],"across":[54,207],"image":[55,67,108,209],"domains":[56],"using":[57],"state-of-the-art":[58],"object":[59],"detection":[60,201],"limited":[63],"set":[64],"public":[66],"data.":[68],"study":[70],"includes":[71],"description":[73],"comparison":[75,111],"YOLOv8,":[77],"widely":[79],"adopted":[80],"architecture,":[81],"YOLOv12,":[83],"more":[85,213],"recent":[86,214],"architecture":[87],"integrating":[88],"attention-based":[89],"modules":[90],"improve":[92],"spatial":[93],"reasoning.":[94],"Both":[95],"models":[96,114,227],"are":[97],"trained":[98],"tested":[100],"solely":[101],"on":[102,118,139,144],"publicly":[103,231],"available":[104,232],"datasets":[105],"comprising":[106],"different":[107],"domains.":[109,210],"A":[110],"both":[113],"based":[117],"common":[120],"metrics":[121],"mAP@0.5":[122,136],"mAP@0.5:0.9":[124,161],"with":[125,155,160,169],"latter":[127],"emphasizing":[128],"localization":[129,158,218],"accuracy.":[130],"For":[131],"YOLOv8":[132,168],"we":[133,220],"obtained":[134],"0.91":[138],"an":[140,194],"in-domain":[141],"0.68":[143,153],"cross-domain":[146],"test":[147],"set.":[148],"YOLOv12":[149,215],"achieved":[150],"0.84":[151],"respectively":[154],"slightly":[156,223],"better":[157,217],"accuracy":[159,204],"0.48":[163],"0.26":[165],"compared":[166],"0.45":[170],"0.25.":[172],"Challenges":[173],"like":[174],"motion":[175],"blur":[176],"low":[178],"contrast":[179],"occasionally":[180],"entailed":[181],"uncertainties":[182],"demonstrated":[186],"overall":[187],"robustness":[188],"most":[190],"scenarios.":[191],"BronchoLumen":[192],"open-weight,":[195],"solution":[197],"orifice":[200],"offering":[202],"high":[203],"efficiency":[206],"multiple":[208],"While":[211],"achieves":[216],"accuracy,":[219],"observed":[221],"worse":[224],"precision.":[225],"have":[228],"been":[229],"made":[230],"foster":[234],"further":[235],"research":[236],"bronchoscopy":[238],"navigation.":[239]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-14T00:00:00"}
