{"id":"https://openalex.org/W4406271370","doi":"https://doi.org/10.1109/bibm62325.2024.10821946","title":"Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification","display_name":"Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271370","doi":"https://doi.org/10.1109/bibm62325.2024.10821946"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":null,"display_name":"Zhangchi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangchi Wang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079055375","display_name":"Yijin Huang","orcid":"https://orcid.org/0000-0002-0988-0134"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijin Huang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104310163","display_name":"Yidu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidu Wu","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025516568","display_name":"Pujin Cheng","orcid":"https://orcid.org/0009-0000-4844-5146"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pujin Cheng","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459666","display_name":"Li Lin","orcid":"https://orcid.org/0000-0002-9789-0825"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lin","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025406043","display_name":"Qinghai Guo","orcid":"https://orcid.org/0000-0001-5813-3840"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghai Guo","raw_affiliation_strings":["Huawei Technologies,ACS Lab,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,ACS Lab,Shenzhen,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080168999","display_name":"Xiaoying Tang","orcid":"https://orcid.org/0000-0002-7549-6560"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Tang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4299,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66363557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1690","last_page":"1694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9210000038146973,"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":0.9210000038146973,"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":0.6697161197662354},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.5587528347969055},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5328807234764099},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5303274989128113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058133602142334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44673630595207214},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43066126108169556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36266472935676575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34819847345352173},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3272096514701843},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07189768552780151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697161197662354},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.5587528347969055},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5328807234764099},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5303274989128113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058133602142334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44673630595207214},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43066126108169556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36266472935676575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34819847345352173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3272096514701843},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07189768552780151},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1904878066","https://openalex.org/W1969496006","https://openalex.org/W2395579298","https://openalex.org/W2776937175","https://openalex.org/W2948685905","https://openalex.org/W2964184826","https://openalex.org/W3115894062","https://openalex.org/W3126104941","https://openalex.org/W4205991051","https://openalex.org/W4312651322","https://openalex.org/W4313125078","https://openalex.org/W4313156423","https://openalex.org/W4378516647","https://openalex.org/W4391582571","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6759579507","https://openalex.org/W6761152059","https://openalex.org/W6791353385","https://openalex.org/W6794559225","https://openalex.org/W6796581206","https://openalex.org/W6797927333","https://openalex.org/W6839562487","https://openalex.org/W6846221585","https://openalex.org/W6851980744","https://openalex.org/W6852405317","https://openalex.org/W6861887733","https://openalex.org/W6862398772","https://openalex.org/W6940459952"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Parameter-efficient":[0],"fine-tuning":[1,65,180],"(PEFT)":[2],"has":[3],"been":[4],"proposed":[5],"as":[6,46,48,101],"a":[7,60,89,109,182],"cost-effective":[8],"approach":[9],"for":[10,178],"transferring":[11],"large-scale":[12],"pre-trained":[13],"models":[14],"(LPMs)":[15],"to":[16,117,134],"downstream":[17],"tasks,":[18],"mitigating":[19],"the":[20,35,84,99,119,123,168,174],"high":[21,77],"costs":[22,138],"associated":[23],"with":[24,185],"updating":[25],"all":[26],"parameters":[27,170],"of":[28,108,111,150,167,173,181,189],"LPMs.":[29],"However,":[30],"current":[31],"PEFT":[32,162],"methods":[33],"encounter":[34],"challenge":[36],"that":[37,94,158],"GPU":[38,70,175],"memory":[39,71,140,176],"usage":[40],"during":[41,73],"training":[42,137],"is":[43],"not":[44],"reduced":[45],"effectively":[47],"parameter":[49],"usage.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,82,127],"propose":[55],"Fusion":[56],"Side":[57],"Tuning":[58],"(FST),":[59],"novel":[61],"memory-efficient":[62],"and":[63,87,139,153,171],"parameter-efficient":[64],"method.":[66],"FST":[67,144,159],"significantly":[68],"reduces":[69],"consumption":[72],"training,":[74],"particularly":[75],"at":[76],"resolutions.":[78],"To":[79],"achieve":[80],"this,":[81],"freeze":[83],"backbone":[85,100],"LPM":[86],"construct":[88],"learnable":[90,169],"side":[91,104],"fusion":[92,105,112],"network":[93,106],"takes":[95],"intermediate":[96,124],"features":[97],"from":[98],"input.":[102],"The":[103],"consists":[107],"sequence":[110],"modules,":[113],"which":[114],"enable":[115],"it":[116],"leverage":[118],"knowledge":[120],"embedded":[121],"in":[122],"features.":[125],"Additionally,":[126],"employ":[128],"an":[129,186],"important":[130],"token":[131],"selection":[132],"mechanism":[133],"further":[135],"reduce":[136],"requirements.":[141],"We":[142],"evaluate":[143],"on":[145],"eight":[146],"medical":[147],"image":[148],"datasets":[149],"varying":[151],"modalities":[152],"sizes.":[154],"Experimental":[155],"results":[156],"demonstrate":[157],"outperforms":[160],"existing":[161],"methods,":[163],"utilizing":[164],"only":[165],"2%":[166],"20%":[172],"required":[177],"full":[179],"ViT-B":[183],"encoder":[184],"input":[187],"resolution":[188],"512":[190],"\u00d7":[191],"512.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}