{"id":"https://openalex.org/W4411446345","doi":"https://doi.org/10.1109/access.2025.3581234","title":"STAR-YOLO: A High-Accuracy and Ultra-Lightweight Method for Brain Tumor Detection","display_name":"STAR-YOLO: A High-Accuracy and Ultra-Lightweight Method for Brain Tumor Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411446345","doi":"https://doi.org/10.1109/access.2025.3581234"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3581234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581234","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3581234","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090277607","display_name":"Liyan Sun","orcid":"https://orcid.org/0000-0003-2145-6341"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyan Sun","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103904444","display_name":"Linxuan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linxuan Zheng","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086956464","display_name":"Zhiguo Xiao","orcid":"https://orcid.org/0000-0001-6719-0652"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Xiao","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061467566","display_name":"Yi Xin","orcid":"https://orcid.org/0009-0006-4668-6329"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xin","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002439631","display_name":"Linqing Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linqing Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090277607"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4839,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92772898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"109914","last_page":"109930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9578999876976013,"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":0.9578999876976013,"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":0.622488260269165},{"id":"https://openalex.org/keywords/star","display_name":"Star (game theory)","score":0.5554971694946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47396227717399597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40031683444976807},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17400360107421875},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.1613215208053589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622488260269165},{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.5554971694946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47396227717399597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40031683444976807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17400360107421875},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.1613215208053589}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3581234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581234","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb924f2c8f9e45a1a55d4c230215fc65","is_oa":true,"landing_page_url":"https://doaj.org/article/bb924f2c8f9e45a1a55d4c230215fc65","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 109914-109930 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3581234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581234","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2570343428","https://openalex.org/W2752782242","https://openalex.org/W2962766617","https://openalex.org/W2962914239","https://openalex.org/W2963037989","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2997747012","https://openalex.org/W3018757597","https://openalex.org/W3042011474","https://openalex.org/W3097779785","https://openalex.org/W3122173535","https://openalex.org/W3164581645","https://openalex.org/W4281790833","https://openalex.org/W4289752563","https://openalex.org/W4293340419","https://openalex.org/W4297676427","https://openalex.org/W4323050190","https://openalex.org/W4377981744","https://openalex.org/W4386047745","https://openalex.org/W4386075524","https://openalex.org/W4386076539","https://openalex.org/W4387211168","https://openalex.org/W4390833874","https://openalex.org/W4392145714","https://openalex.org/W4392939809","https://openalex.org/W4402727675","https://openalex.org/W4402886662","https://openalex.org/W4402999384","https://openalex.org/W4403150315","https://openalex.org/W4403770406","https://openalex.org/W6750227808","https://openalex.org/W6775141730","https://openalex.org/W6777585957","https://openalex.org/W6784208648","https://openalex.org/W6796538260","https://openalex.org/W6849520326","https://openalex.org/W6853008961","https://openalex.org/W6860762246","https://openalex.org/W6866194608","https://openalex.org/W6868582632","https://openalex.org/W6873881505"],"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":{"Brain":[0],"tumors":[1,35,55],"are":[2],"among":[3],"the":[4,30,77,84,89,93,108,128,153,189],"deadliest":[5],"malignant":[6],"neoplasms":[7],"worldwide,":[8],"and":[9,18,45,87,104,121,148,160],"early":[10],"detection":[11,51,181],"is":[12],"critical":[13],"for":[14,53],"improving":[15],"treatment":[16],"outcomes":[17],"patient":[19],"prognosis.":[20],"Magnetic":[21],"resonance":[22],"imaging":[23],"(MRI)":[24],"plays":[25],"a":[26,63,73,100,122,162,175],"central":[27],"role":[28],"in":[29,143,146,150,188,196],"clinical":[31,192],"diagnosis":[32,190],"of":[33,79,141,165,191],"brain":[34,43,54,193],"due":[36],"to":[37,41,58,116],"its":[38,185],"exceptional":[39],"ability":[40],"visualize":[42],"structures":[44],"detect":[46],"tumors.":[47],"However,":[48],"traditional":[49],"MRI":[50],"models":[52],"often":[56],"struggle":[57],"balance":[59],"high":[60,119,180],"accuracy":[61,120],"with":[62,198],"lightweight":[64,123,176],"design.":[65,124],"To":[66],"address":[67],"this":[68,70],"challenge,":[69],"study":[71],"proposes":[72],"novel":[74],"model\u2014STAR-YOLO\u2014based":[75],"on":[76,127],"optimization":[78],"YOLOv8n.":[80],"The":[81],"model":[82,154],"refines":[83],"backbone":[85],"network":[86],"enhances":[88],"C2f":[90],"module":[91],"within":[92],"neck":[94],"network.":[95],"It":[96],"also":[97],"integrates":[98],"SimAM,":[99],"parameter-free":[101],"attention":[102],"mechanism,":[103],"utilizes":[105],"ShapeIoU":[106],"as":[107],"localization":[109],"loss":[110],"function.":[111],"These":[112],"innovations":[113],"enable":[114],"STAR-YOLO":[115,134,173],"achieve":[117],"both":[118],"Experimental":[125],"results":[126],"Br35H":[129],"public":[130],"dataset":[131],"show":[132],"that":[133],"outperforms":[135],"existing":[136],"models,":[137],"achieving":[138],"outstanding":[139],"scores":[140],"0.937":[142],"Precision,":[144],"0.852":[145],"Recall,":[147],"0.642":[149],"mAP50-95.":[151],"Additionally,":[152],"contains":[155],"only":[156],"2.01":[157],"million":[158],"parameters":[159],"has":[161],"computational":[163],"complexity":[164],"6.1":[166],"GFLOPs,":[167],"significantly":[168],"lower":[169],"than":[170],"other":[171],"models.":[172],"accomplishes":[174],"design":[177],"while":[178],"guaranteeing":[179],"accuracy,":[182],"prominently":[183],"demonstrating":[184],"immense":[186],"potential":[187],"tumors,":[194],"particularly":[195],"circumstances":[197],"constrained":[199],"computing":[200],"resources.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
