{"id":"https://openalex.org/W4406094556","doi":"https://doi.org/10.1109/jbhi.2025.3526174","title":"SPA: Leveraging the SAM With Spatial Priors Adapter for Enhanced Medical Image Segmentation","display_name":"SPA: Leveraging the SAM With Spatial Priors Adapter for Enhanced Medical Image Segmentation","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406094556","doi":"https://doi.org/10.1109/jbhi.2025.3526174","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030852"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3526174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3526174","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5058352645","display_name":"Jihong Hu","orcid":"https://orcid.org/0009-0007-7761-5547"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jihong Hu","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0009-0007-7761-5547","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010150695","display_name":"Yinhao Li","orcid":"https://orcid.org/0000-0002-8924-5279"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yinhao Li","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8924-5279","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089542345","display_name":"Rahul Kumar Jain","orcid":"https://orcid.org/0000-0002-0768-2193"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rahul Kumar Jain","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0768-2193","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Key Laboratory of Multi-omics Precision Diagnosis and Treatment of Liver Diseases, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4098-588X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Multi-omics Precision Diagnosis and Treatment of Liver Diseases, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5952-0188","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058352645"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":7.1894,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96649343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":"2","first_page":"993","last_page":"1005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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/T10862","display_name":"AI in cancer detection","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8370949029922485},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6919957399368286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6475144028663635},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.6002375483512878},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5788936614990234},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49561607837677},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4743810296058655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4721783697605133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4284375011920929},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.42376238107681274},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41258955001831055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36918383836746216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370949029922485},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6919957399368286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6475144028663635},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.6002375483512878},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5788936614990234},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49561607837677},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4743810296058655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4721783697605133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4284375011920929},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.42376238107681274},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41258955001831055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36918383836746216},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"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":"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},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3526174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3526174","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40030852","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030852","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1374582643","display_name":null,"funder_award_id":"21K17774","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G485387207","display_name":null,"funder_award_id":"20KK0234","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G6613836800","display_name":null,"funder_award_id":"20K21821","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G899037409","display_name":null,"funder_award_id":"21H03470","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W607748843","https://openalex.org/W1901129140","https://openalex.org/W2039367092","https://openalex.org/W2106033751","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2623808523","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W3014974815","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3175515048","https://openalex.org/W3196107618","https://openalex.org/W4287225564","https://openalex.org/W4313156423","https://openalex.org/W4321232185","https://openalex.org/W4379660268","https://openalex.org/W4386076222","https://openalex.org/W4387430177","https://openalex.org/W4388737411","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4400881081","https://openalex.org/W4404199184","https://openalex.org/W4407005368","https://openalex.org/W4408634392"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2485605994","https://openalex.org/W2160602540","https://openalex.org/W4385571108","https://openalex.org/W2125652721"],"abstract_inverted_index":{"The":[0],"Segment":[1],"Anything":[2],"Model":[3],"(SAM)":[4],"has":[5],"gained":[6],"renown":[7],"for":[8,193],"its":[9,17,23],"success":[10],"in":[11,31,43,152],"image":[12,34,109],"segmentation,":[13],"benefiting":[14],"significantly":[15,143],"from":[16],"pretraining":[18],"on":[19,162],"extensive":[20,160],"datasets":[21],"and":[22,97,155,183],"interactive":[24],"prompt-based":[25,154],"segmentation":[26,35,127,145,157],"approach.":[27],"Although":[28],"highly":[29],"effective":[30,195],"natural":[32],"(real-world)":[33],"tasks,":[36],"the":[37,48,61,84,98,170,173,178,191],"SAM":[38],"model":[39],"encounters":[40],"significant":[41],"challenges":[42],"medical":[44,76,165,185,197],"imaging":[45,77,166,186],"due":[46],"to":[47,75,123,176],"inherent":[49],"differences":[50],"between":[51,180],"these":[52,57,105],"two":[53,81],"domains.":[54],"To":[55],"address":[56],"challenges,":[58],"we":[59,115],"propose":[60],"Spatial":[62,85],"Prior":[63,86],"Adapter":[64],"(SPA)":[65],"scheme,":[66],"a":[67,117],"parameter-efficient":[68],"fine-tuning":[69],"strategy":[70],"that":[71],"enhances":[72],"SAM's":[73,108,125],"adaptability":[74],"tasks.":[78,187],"SPA":[79],"introduces":[80],"novel":[82],"modules:":[83],"Module":[87,101,121],"(SPM),":[88],"which":[89,103],"captures":[90],"localized":[91],"spatial":[92],"features":[93,106],"through":[94,159],"convolutional":[95],"layers,":[96],"Feature":[99,119],"Communication":[100],"(FCM),":[102],"integrates":[104],"into":[107],"encoder":[110],"via":[111],"cross-attention":[112],"mechanisms.":[113],"Furthermore,":[114],"develop":[116],"Multiscale":[118],"Fusion":[120],"(MSFFM)":[122],"enhance":[124],"end-to-end":[126,156],"capabilities":[128],"by":[129],"effectively":[130],"aggregating":[131],"multiscale":[132],"contextual":[133],"information.":[134],"These":[135],"lightweight":[136],"modules":[137],"require":[138],"minimal":[139],"computational":[140],"resources":[141],"while":[142],"boosting":[144],"performance.":[146],"Our":[147],"approach":[148],"demonstrates":[149],"superior":[150],"performance":[151],"both":[153],"scenarios":[158],"experiments":[161],"publicly":[163],"available":[164],"datasets.":[167],"Performance":[168],"highlights":[169],"potential":[171],"of":[172],"proposed":[174],"method":[175],"bridge":[177],"gap":[179],"foundation":[181],"models":[182],"domain-specific":[184],"This":[188],"advancement":[189],"paves":[190],"way":[192],"more":[194],"AI-assisted":[196],"diagnostic":[198],"systems.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}