{"id":"https://openalex.org/W4417439012","doi":"https://doi.org/10.1109/tmi.2025.3644949","title":"A General Framework for Efficient Medical Image Analysis via Shared Attention Vision Transformer","display_name":"A General Framework for Efficient Medical Image Analysis via Shared Attention Vision Transformer","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W4417439012","doi":"https://doi.org/10.1109/tmi.2025.3644949","pmid":"https://pubmed.ncbi.nlm.nih.gov/41406267"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3644949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3644949","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101847419","display_name":"Yihang Liu","orcid":"https://orcid.org/0000-0003-4257-2528"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihang Liu","raw_affiliation_strings":["School of Computer Science and Technique, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4257-2528","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technique, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647485","display_name":"Ying Wen","orcid":"https://orcid.org/0000-0002-6974-5110"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wen","raw_affiliation_strings":["School of Communications and Electronic Engineering, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6974-5110","affiliations":[{"raw_affiliation_string":"School of Communications and Electronic Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085584344","display_name":"Longzhen Yang","orcid":"https://orcid.org/0000-0002-5791-145X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longzhen Yang","raw_affiliation_strings":["School of Computer Science and Technique, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5791-145X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technique, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091130234","display_name":"Lianghua He","orcid":"https://orcid.org/0000-0002-5250-170X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianghua He","raw_affiliation_strings":["School of Computer Science and Technique, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5250-170X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technique, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]},{"id":"https://openalex.org/I4210106931","display_name":"Jiaxing Vocational Technical College","ror":"https://ror.org/02cydx698","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106931"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Tongxiang Institute of Artificial General, Tongxiang, Zhejiang, China","Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5408-8752","affiliations":[{"raw_affiliation_string":"Tongxiang Institute of Artificial General, Tongxiang, Zhejiang, China","institution_ids":["https://openalex.org/I4210106931"]},{"raw_affiliation_string":"Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101847419"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52789258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"5","first_page":"2001","last_page":"2014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.11230000108480453,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.11230000108480453,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.11079999804496765,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11448","display_name":"Face recognition and analysis","score":0.08739999681711197,"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/medical-imaging","display_name":"Medical imaging","score":0.5198000073432922},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5110999941825867},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4519999921321869},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43369999527931213},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4092000126838684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4018000066280365},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3952000141143799},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3465999960899353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379000127315521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281999945640564},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5198000073432922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5126000046730042},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5110999941825867},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43369999527931213},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4092000126838684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2515000104904175}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3644949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3644949","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41406267","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41406267","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3025268333","display_name":null,"funder_award_id":"625B2130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3582019159","display_name":null,"funder_award_id":"62271155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3890597804","display_name":null,"funder_award_id":"2020YFA0711400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4111060272","display_name":null,"funder_award_id":"U2441252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4606321376","display_name":null,"funder_award_id":"2021SHZDZX0100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7355213507","display_name":null,"funder_award_id":"62171323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475344411","display_name":null,"funder_award_id":"25JS2840100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7751097418","display_name":null,"funder_award_id":"TAGI2-A-2024-0006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision":[0,62],"Transformers":[1],"(ViTs)":[2],"demonstrate":[3],"significant":[4],"promise":[5],"in":[6,23,43,47,155,187,207,217],"medical":[7,55,156,165],"image":[8,56,93,129,157],"analysis":[9],"but":[10],"face":[11],"two":[12],"critical":[13],"challenges:":[14],"1)":[15],"their":[16,32],"limited":[17],"ability":[18,111],"to":[19,27,85,102],"capture":[20,103],"local":[21,92,114,128],"features":[22,115],"data-scarce":[24],"scenarios,":[25],"leading":[26],"data":[28,77,182],"inefficiency,":[29],"and":[30,35,53,131,171,184,194],"2)":[31],"high":[33,181],"computational":[34,150],"storage":[36],"demands":[37],"of":[38,99,145,199],"the":[39,97],"full":[40],"fine-tuning":[41],"process":[42],"transfer":[44,218],"learning,":[45,219],"resulting":[46],"parameter":[48,139],"inefficiency.":[49],"To":[50],"achieve":[51],"efficient":[52],"accurate":[54],"analysis,":[57],"we":[58],"propose":[59],"Shared":[60,71],"Attention":[61,73],"Transformer":[63],"(SAViT)":[64],"that":[65,75,107,137],"comprises":[66],"three":[67],"innovative":[68],"modules:":[69],"i)":[70],"Prior":[72],"(SPA)":[74],"enhances":[76],"efficiency":[78,140,183],"by":[79,112,141,210],"innovatively":[80],"employing":[81],"a":[82,119],"visual":[83],"prompt":[84],"sequentially":[86],"share":[87],"consistent":[88],"attention":[89],"weights":[90,144],"across":[91,127,163,214],"regions,":[94],"thereby":[95],"enabling":[96],"learning":[98],"translational":[100],"invariance":[101],"locality;":[104],"ii)":[105],"MixPool":[106],"preserves":[108],"global":[109],"modeling":[110],"aggregating":[113],"after":[116],"SPA":[117],"through":[118],"multi-pooling":[120],"mechanism,":[121],"thus":[122],"effectively":[123],"facilitating":[124],"long-range":[125],"dependency":[126],"regions;":[130],"iii)":[132],"Low-rank":[133],"Multi-head":[134],"Self-Attention":[135],"(Lr-MSA)":[136],"improves":[138],"using":[142],"low-rank":[143],"multi-head":[146],"self-attention,":[147],"hence":[148],"reducing":[149],"complexity":[151],"while":[152],"maintaining":[153],"accuracy":[154],"analysis.":[158],"SAViT":[159],"demonstrates":[160],"strong":[161],"generalization":[162],"multiple":[164],"imaging":[166],"modalities,":[167],"including":[168],"retinopathy,":[169],"dermoscopy,":[170],"radiography.":[172],"Extensive":[173],"experiments":[174],"are":[175,201],"conducted.":[176],"The":[177],"results":[178],"indicate":[179],"its":[180],"outstanding":[185],"performance":[186],"comparison":[188],"with":[189,220],"more":[190],"than":[191],"20":[192],"medical-specific":[193],"ViT-based":[195],"models":[196,213],"when":[197],"all":[198],"them":[200],"trained":[202],"from":[203],"scratch.":[204],"It":[205],"excels":[206],"parameter-efficient":[208],"tuning":[209],"surpassing":[211],"17":[212],"6":[215],"datasets":[216],"only":[221],"${0}.{17}$":[222],"M/":[223,233],"${0}.{23}$":[224],"M":[225,235],"trainable":[226],"parameters":[227],"on":[228],"ViT-B/SwinViT-B":[229],"backbones":[230],"requiring":[231],"${86}.{60}$":[232],"${88}.{00}$":[234],"parameters.":[236],"Source":[237],"code":[238],"can":[239],"be":[240],"found":[241],"at:":[242],"https://github.com/LYH-hh/SAViT.":[243]},"counts_by_year":[],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2025-12-17T00:00:00"}