{"id":"https://openalex.org/W7125930067","doi":"https://doi.org/10.1109/smc58881.2025.11343635","title":"Visual Prompt Tuning Mamba for MRI Brain Tumor Classification","display_name":"Visual Prompt Tuning Mamba for MRI Brain Tumor Classification","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125930067","doi":"https://doi.org/10.1109/smc58881.2025.11343635"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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/A5124135444","display_name":"Wei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Dalian Minzu University,School of Computer Science and Engineering,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University,School of Computer Science and Engineering,Dalian,China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090065730","display_name":"LI Fen","orcid":"https://orcid.org/0000-0002-9009-2660"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fen Li","raw_affiliation_strings":["Dalian Minzu University,School of Computer Science and Engineering,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University,School of Computer Science and Engineering,Dalian,China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627217","display_name":"Lixin Guo","orcid":"https://orcid.org/0000-0002-1579-0717"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Guo","raw_affiliation_strings":["Dalian Minzu University,School of Computer Science and Engineering,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University,School of Computer Science and Engineering,Dalian,China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124052843","display_name":"Jianxin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Zhang","raw_affiliation_strings":["Dalian Minzu University,School of Computer Science and Engineering,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University,School of Computer Science and Engineering,Dalian,China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124135444"],"corresponding_institution_ids":["https://openalex.org/I61565387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67211928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"959","last_page":"965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.765500009059906,"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":0.765500009059906,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.08760000020265579,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.02290000021457672,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/brain-tumor","display_name":"Brain tumor","score":0.6499000191688538},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5175999999046326},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.42640000581741333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083000123500824},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4002000093460083},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3955000042915344}],"concepts":[{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.6499000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353000164031982},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40400001406669617},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3540000021457672},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5159322619438171,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2762559025","https://openalex.org/W2897188827","https://openalex.org/W2900614813","https://openalex.org/W2913928134","https://openalex.org/W3011430986","https://openalex.org/W3088606085","https://openalex.org/W3123021847","https://openalex.org/W3138516171","https://openalex.org/W3152500641","https://openalex.org/W3165013971","https://openalex.org/W4293511125","https://openalex.org/W4303628775","https://openalex.org/W4312651322","https://openalex.org/W4324141359","https://openalex.org/W4385363709","https://openalex.org/W4400793907","https://openalex.org/W4403152483","https://openalex.org/W4413145949"],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"MRI":[1,49,83],"brain":[2,14,50,84,105,120,153,185],"tumor":[3,51,85,154,186],"classification":[4,155,202],"plays":[5],"an":[6],"important":[7,102],"role":[8],"in":[9,24,62,137],"the":[10,55,93,110,113,133,146,160,171,175,183,194],"clinical":[11],"diagnosis":[12],"of":[13,58,66,104,119,166,196],"tumors.":[15],"Meanwhile,":[16],"deep":[17],"learning":[18],"methods":[19,31],"recently":[20],"attract":[21],"wide":[22],"attention":[23],"this":[25,41,71,199],"medical":[26,67,200],"application.":[27,203],"Different":[28],"from":[29],"existing":[30],"that":[32],"are":[33,178],"mainly":[34],"based":[35],"on":[36,148,170,182],"CNN":[37],"and":[38,100,129,151,163,168,174,180],"Transformer":[39],"architectures,":[40],"paper":[42,72],"attempts":[43],"to":[44,97,115,140],"explore":[45],"Mamba-related":[46],"models":[47,61],"for":[48,82,198],"classification,":[52,86],"motivated":[53],"by":[54,122],"recent":[56],"success":[57],"state":[59],"space":[60],"capturing":[63],"global":[64,99],"features":[65,139],"images.":[68,106],"More":[69],"specifically,":[70],"introduces":[73],"a":[74,89],"novel":[75],"vision":[76],"prompt":[77,91,135],"Mamba":[78,96],"model,":[79],"i.e.,":[80],"VPT-Mamba,":[81],"which":[87],"implants":[88],"visual":[90,134],"into":[92,126],"improved":[94],"Vision":[95,127],"capture":[98],"local":[101],"information":[103],"The":[107],"VPT-Mamba":[108,147,158,197],"utilizes":[109],"Mamba\u00ae":[111],"as":[112],"backbone":[114],"mitigate":[116],"feature":[117,142],"artifacts":[118],"tumors":[121],"introducing":[123],"register":[124],"tokens":[125],"Mamba,":[128],"it":[130],"further":[131],"incorporates":[132],"tuning":[136],"input":[138],"enhance":[141],"representation.":[143],"We":[144],"evaluate":[145],"two":[149],"public":[150,172],"private":[152,184],"datasets.":[156],"Our":[157],"achieves":[159],"best":[161],"ACC":[162],"AUC":[164],"results":[165,192],"99.510%":[167],"99.966%":[169],"dataset,":[173,187],"corresponding":[176],"values":[177],"96.582%":[179],"99.125%":[181],"respectively.":[188],"Moreover,":[189],"comparative":[190],"experimental":[191],"demonstrate":[193],"effectiveness":[195],"image":[201]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
