{"id":"https://openalex.org/W4401211892","doi":"https://doi.org/10.1109/icccs61882.2024.10603331","title":"Alzheimer's Disease Classification Based on Multi-Scale 2D-VMD Swin Transformer","display_name":"Alzheimer's Disease Classification Based on Multi-Scale 2D-VMD Swin Transformer","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4401211892","doi":"https://doi.org/10.1109/icccs61882.2024.10603331"},"language":"en","primary_location":{"id":"doi:10.1109/icccs61882.2024.10603331","doi":"https://doi.org/10.1109/icccs61882.2024.10603331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs61882.2024.10603331","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5073850565","display_name":"Wulin Zhang","orcid":"https://orcid.org/0000-0002-9336-094X","observed_orcids":["https://orcid.org/0000-0002-9336-094X","https://orcid.org/0000-0003-4497-2146","https://orcid.org/0000-0002-0726-2607"]},"institutions":[{"id":"https://openalex.org/I4210116828","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wulin Zhang","raw_affiliation_strings":["Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China","institution_ids":["https://openalex.org/I4210116828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111762744","display_name":"Yang Ming Xie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210116828","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Yang","raw_affiliation_strings":["Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China","institution_ids":["https://openalex.org/I4210116828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714285","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0000-0002-0646-7571","observed_orcids":["https://orcid.org/0000-0002-0646-7571"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["Shanwei Institute of Technology,Department of Ocean Engineering,Shanwei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanwei Institute of Technology,Department of Ocean Engineering,Shanwei,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102014281","display_name":"Yuanjia Liu","orcid":"https://orcid.org/0000-0003-4509-9692","observed_orcids":["https://orcid.org/0000-0003-4509-9692"]},"institutions":[{"id":"https://openalex.org/I4210116828","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjia Liu","raw_affiliation_strings":["Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mudanjiang Normal University,Department of Physics and Electrical Engineering,Mudanjiang,China","institution_ids":["https://openalex.org/I4210116828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5867,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87080948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.0035000001080334187,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0027000000700354576,"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/alzheimer-s-disease","display_name":"Alzheimer's disease","score":0.9039999842643738},{"id":"https://openalex.org/keywords/dementia-classification","display_name":"dementia classification","score":0.753000020980835},{"id":"https://openalex.org/keywords/brain-mri","display_name":"brain MRI","score":0.902999997138977},{"id":"https://openalex.org/keywords/swin-transformer","display_name":"Swin Transformer","score":0.8299999833106995},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.8669999837875366},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.7310000061988831},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.6420000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854231119155884},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4603997766971588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4456685483455658},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4302976727485657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34904396533966064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19560924172401428},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17992493510246277},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15413564443588257},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08976790308952332},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05765560269355774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs61882.2024.10603331","doi":"https://doi.org/10.1109/icccs61882.2024.10603331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs61882.2024.10603331","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4608497248","display_name":null,"funder_award_id":"MSYSYL2022011","funder_id":"https://openalex.org/F4320327406","funder_display_name":"Mudanjiang Normal University"}],"funders":[{"id":"https://openalex.org/F4320327406","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2000982976","https://openalex.org/W2028942474","https://openalex.org/W2789337348","https://openalex.org/W2811062860","https://openalex.org/W2944541202","https://openalex.org/W2945296139","https://openalex.org/W2958872067","https://openalex.org/W2967935744","https://openalex.org/W2988809352","https://openalex.org/W2990007740","https://openalex.org/W2995864059","https://openalex.org/W2997873617","https://openalex.org/W3001968491","https://openalex.org/W3041975743","https://openalex.org/W3107578480","https://openalex.org/W3138516171","https://openalex.org/W3199690700","https://openalex.org/W4280610444","https://openalex.org/W4319964312","https://openalex.org/W4383501466","https://openalex.org/W4389779690"],"related_works":["https://openalex.org/W7160445073","https://openalex.org/W4410229644","https://openalex.org/W7162071900","https://openalex.org/W4417282698","https://openalex.org/W7216821697","https://openalex.org/W7155526870","https://openalex.org/W4409197547","https://openalex.org/W4362590227","https://openalex.org/W4414865602","https://openalex.org/W4387801725"],"abstract_inverted_index":{"Alzheimer's":[0],"Disease":[1],"(AD)":[2],"is":[3,129,191,245,289],"an":[4],"increasingly":[5],"prevalent":[6],"chronic":[7],"neurological":[8],"disorder":[9],"that":[10,134,230],"profoundly":[11],"impacts":[12],"the":[13,28,39,68,98,119,150,181,210,222,225,238,254,258,265,294],"memory,":[14],"cognition,":[15],"and":[16,35,44,85,95,124,202,208,217,279,284,305],"daily":[17],"activities":[18],"of":[19,30,71,100,139,164,224,257,290,297],"patients.":[20,306],"This":[21,87,111,142,243,287],"disease":[22,285],"places":[23],"a":[24,54,92,130,192],"significant":[25],"burden":[26],"on":[27,60,221],"quality":[29],"life":[31],"for":[32,41,67,97,185,293,303],"both":[33],"patients":[34],"their":[36],"families,":[37],"making":[38],"search":[40],"effective":[42],"diagnostic":[43],"therapeutic":[45],"methods":[46],"particularly":[47],"important.":[48],"In":[49],"this":[50,156,231],"paper,":[51],"we":[52,102,159],"propose":[53],"novel":[55,193],"Swin":[56,182,188],"Transformer":[57,183,189],"model":[58,184,190,196,211,233,267],"based":[59,220],"Two-":[61],"Dimensional":[62],"Variational":[63],"Mode":[64],"Decomposition":[65],"(2D-VMD)":[66],"four-class":[69],"classification":[70,89,204,232],"brain":[72,108],"MRI":[73,109],"images,":[74],"accurately":[75,218],"distinguishing":[76],"between":[77],"moderate":[78],"dementia,":[79,82,84],"very":[80],"mild":[81,83],"non-dementia.":[86],"innovative":[88],"method":[90],"provides":[91],"new":[93],"perspective":[94],"tool":[96],"diagnosis":[99,296],"AD.Firstly,":[101],"utilize":[103],"2D-VMD":[104,128],"technology":[105],"to":[106,114,173],"preprocess":[107],"images.":[110],"step":[112],"aims":[113],"extract":[115],"key":[116],"information":[117],"from":[118],"images":[120,163,168,177],"while":[121],"removing":[122],"noise":[123],"other":[125],"interfering":[126],"factors.":[127],"signal":[131,151],"processing":[132],"technique":[133],"decomposes":[135],"signals":[136],"into":[137,180],"sub-signals":[138],"different":[140,153,165],"frequencies.":[141],"decomposition":[143],"process":[144],"can":[145,160,212],"be":[146],"viewed":[147],"as":[148],"analyzing":[149],"at":[152],"scales.":[154],"Through":[155,206],"preprocessing":[157],"step,":[158],"obtain":[161],"feature":[162,176,199,215,282],"modes.":[166],"These":[167],"contain":[169],"pathological":[170],"features":[171,223],"related":[172],"AD.Subsequently,":[174],"these":[175],"are":[178],"input":[179,226],"classification.":[186,286],"The":[187],"deep":[194],"learning":[195],"with":[197,262],"powerful":[198],"extraction":[200,283],"capabilities":[201],"efficient":[203],"performance.":[205],"training":[207,239,272],"optimization,":[209],"automatically":[213],"learn":[214],"representations":[216],"classify":[219],"images.Experimental":[227],"results":[228],"show":[229],"exhibits":[234,276],"high":[235,271],"accuracy":[236,273],"during":[237],"process,":[240],"reaching":[241],"94.25%.":[242],"result":[244],"significantly":[246],"higher":[247,277],"than":[248],"many":[249],"previous":[250],"studies,":[251],"further":[252],"demonstrating":[253],"superior":[255],"performance":[256],"model.":[259],"Moreover,":[260],"compared":[261],"similar":[263],"research,":[264],"proposed":[266],"not":[268],"only":[269],"has":[270],"but":[274],"also":[275],"precision":[278],"comprehensiveness":[280],"in":[281],"finding":[288],"great":[291],"significance":[292],"early":[295],"AD,":[298],"providing":[299],"more":[300],"reliable":[301],"evidence":[302],"clinicians":[304]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-08-02T00:00:00"}