{"id":"https://openalex.org/W7118896072","doi":"https://doi.org/10.1109/indin64977.2025.11279193","title":"SE-Enhanced YOLOv9 for Accurate Brain Tumor Segmentation","display_name":"SE-Enhanced YOLOv9 for Accurate Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118896072","doi":"https://doi.org/10.1109/indin64977.2025.11279193"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5122074767","display_name":"Yixun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]},{"id":"https://openalex.org/I40413290","display_name":"University of Gda\u0144sk","ror":"https://ror.org/011dv8m48","country_code":"PL","type":"education","lineage":["https://openalex.org/I40413290"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Yixun Wang","raw_affiliation_strings":["Gdansk University Of Technology,Gdansk,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gdansk University Of Technology,Gdansk,Poland","institution_ids":["https://openalex.org/I169333911","https://openalex.org/I40413290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122225893","display_name":"Beibei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beibei Xu","raw_affiliation_strings":["Cornell University,Department of Population Medicine and Diagnostic Sciences,Ithaca,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Department of Population Medicine and Diagnostic Sciences,Ithaca,USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56011526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7121999859809875,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7121999859809875,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.21979999542236328,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.023499999195337296,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7182000279426575},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6194999814033508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6043999791145325},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5090000033378601},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.49239999055862427},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.49160000681877136},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.45320001244544983}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.758400022983551},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7182000279426575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656000018119812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6194999814033508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6043999791145325},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4293000102043152},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.38190001249313354},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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":10,"referenced_works":["https://openalex.org/W3146366485","https://openalex.org/W3174246647","https://openalex.org/W4283386030","https://openalex.org/W4361275400","https://openalex.org/W4391305681","https://openalex.org/W4392939809","https://openalex.org/W4394757630","https://openalex.org/W4403938813","https://openalex.org/W4406094158","https://openalex.org/W4406128142"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"brain":[1,163],"tumor":[2,16,82,95,164],"segmentation":[3,51],"is":[4,25,33],"essential":[5],"for":[6,29,159],"early":[7],"diagnosis":[8],"and":[9,18,35,59,81,103,109,118,161],"treatment":[10],"but":[11,52],"remains":[12],"challenging":[13],"due":[14],"to":[15,37,76],"heterogeneity":[17],"indistinct":[19],"boundaries.":[20],"While":[21],"magnetic":[22],"resonance":[23],"imaging":[24],"the":[26,43,73,97,147],"preferred":[27],"modality":[28],"detection,":[30],"manual":[31],"interpretation":[32],"time-consuming":[34],"prone":[36],"variability.":[38],"Deep":[39],"learning-based":[40],"methods,":[41],"particularly":[42],"YOLO":[44],"series,":[45],"has":[46],"shown":[47],"promise":[48],"in":[49,56,129,137,153],"automated":[50],"requires":[53],"further":[54],"improvement":[55],"feature":[57,79,134],"representation":[58],"accuracy.":[60],"This":[61],"study":[62],"introduces":[63],"an":[64,119],"SE-enhanced":[65],"YOLOv9-seg":[66],"model,":[67],"integrating":[68],"Squeeze-and-Excitation":[69],"(SE)":[70],"attention":[71,128,151],"into":[72],"YOLOv9":[74],"backbone":[75],"improve":[77],"low-level":[78],"extraction":[80],"boundary":[83],"delineation.":[84],"Evaluated":[85],"on":[86],"a":[87,113],"dataset":[88],"of":[89,116,121,149],"5,348":[90],"MRI":[91],"images":[92],"spanning":[93],"seven":[94],"types,":[96],"model":[98],"outperforms":[99],"YOLOv5,":[100],"YOLOv7,":[101],"YOLOv8,":[102],"YOLOv11,":[104],"as":[105,107],"well":[106],"CBAM":[108],"CAFM-enhanced":[110],"models,":[111],"achieving":[112],"mask":[114],"precision":[115],"97.1%":[117],"mAP50":[120],"98.4%.":[122],"Results":[123],"confirm":[124],"that":[125],"applying":[126],"SE":[127],"earlier":[130],"layers":[131],"enhances":[132],"spatial":[133],"representation,":[135],"aiding":[136],"differentiating":[138],"tumors":[139],"with":[140],"subtle":[141],"structural":[142],"variations.":[143],"These":[144],"findings":[145],"highlight":[146],"effectiveness":[148],"lightweight":[150],"mechanisms":[152],"YOLO-based":[154],"segmentation,":[155],"reinforcing":[156],"their":[157],"potential":[158],"accurate":[160],"efficient":[162],"analysis.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-08T00:00:00"}