{"id":"https://openalex.org/W4408353081","doi":"https://doi.org/10.1109/icassp49660.2025.10888358","title":"CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery","display_name":"CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353081","doi":"https://doi.org/10.1109/icassp49660.2025.10888358"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101640934","display_name":"Zilin Chen","orcid":"https://orcid.org/0000-0003-0854-2464"},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilin Chen","raw_affiliation_strings":["Xi’an Shiyou University,School of Computer Science,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Shiyou University,School of Computer Science,Xian,China","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102845350","display_name":"Shengnan Lu","orcid":"https://orcid.org/0000-0003-1585-3914"},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengnan Lu","raw_affiliation_strings":["Xi’an Shiyou University,School of Computer Science,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Shiyou University,School of Computer Science,Xian,China","institution_ids":["https://openalex.org/I181903023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181903023"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6457172632217407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.595946192741394},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5746488571166992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641212463378906},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40096718072891235},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20147761702537537},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11509987711906433},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0731712281703949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457172632217407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.595946192741394},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5746488571166992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641212463378906},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40096718072891235},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20147761702537537},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11509987711906433},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0731712281703949}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2570343428","https://openalex.org/W2962949934","https://openalex.org/W2963037989","https://openalex.org/W4318149008","https://openalex.org/W4366310361","https://openalex.org/W4385245566","https://openalex.org/W4385392925","https://openalex.org/W4386076325","https://openalex.org/W4387968135","https://openalex.org/W4390190894","https://openalex.org/W4393139826","https://openalex.org/W4399393690","https://openalex.org/W4401122175","https://openalex.org/W4401126955","https://openalex.org/W4402305045","https://openalex.org/W4402351971","https://openalex.org/W4402352241","https://openalex.org/W4402754006","https://openalex.org/W4403770406","https://openalex.org/W6784094891","https://openalex.org/W6856556468","https://openalex.org/W6859465167"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Object":[0],"detection":[1,120],"is":[2],"essential":[3],"in":[4,108,122,140],"biomedical":[5,143],"image":[6],"analysis,":[7],"particularly":[8],"for":[9,47],"identifying":[10,123],"small":[11],"yet":[12],"critical":[13],"entities":[14],"such":[15],"as":[16],"abnormal":[17],"cells":[18],"or":[19],"lung":[20],"nodules":[21],"under":[22],"3":[23],"mm,":[24],"which":[25,80],"are":[26,147],"often":[27],"missed":[28],"by":[29],"existing":[30],"methods.":[31],"To":[32,58],"address":[33],"this,":[34],"we":[35,71,89],"propose":[36],"CAF-YOLO,":[37],"built":[38],"on":[39,128],"the":[40,60,103,136],"YOLOv8":[41],"architecture.":[42],"Our":[43,145],"model":[44],"combines":[45],"CNNs":[46],"robust":[48],"local":[49,85],"feature":[50,86,105],"extraction":[51],"with":[52],"transformers":[53],"to":[54,66,96],"capture":[55],"long-range":[56],"dependencies.":[57],"mitigate":[59],"limited":[61],"ability":[62],"of":[63,138],"convolutional":[64],"kernels":[65],"handle":[67],"distant":[68],"spatial":[69],"interactions,":[70],"developed":[72],"an":[73],"attention":[74],"and":[75,84,133],"convolution":[76],"fusion":[77],"module":[78],"(ACFM),":[79],"enhances":[81],"both":[82],"global":[83],"modeling.":[87],"Additionally,":[88],"designed":[90],"a":[91],"multi-scale":[92],"neural":[93],"network":[94],"(MSNN)":[95],"aggregate":[97],"features":[98],"across":[99],"multiple":[100],"scales,":[101],"overcoming":[102],"restricted":[104],"aggregation":[106],"seen":[107],"standard":[109],"feed-forward":[110],"networks":[111],"(FFN)":[112],"within":[113],"transformer":[114],"architectures.":[115],"This":[116],"comprehensive":[117],"approach":[118],"improves":[119],"accuracy":[121],"complex":[124],"micro-lesions.":[125],"Experimental":[126],"results":[127],"benchmark":[129],"datasets":[130],"like":[131],"BCCD":[132],"LUNA16":[134],"demonstrate":[135],"efficacy":[137],"CAF-YOLO":[139],"capturing":[141],"detailed":[142],"entities.":[144],"codes":[146],"available":[148],"at":[149],"https://github.com/xiaochen925/CAF-YOLO.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}