{"id":"https://openalex.org/W4410986290","doi":"https://doi.org/10.1109/tr.2025.3571987","title":"A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov\u2013Arnold Networks","display_name":"A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov\u2013Arnold Networks","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4410986290","doi":"https://doi.org/10.1109/tr.2025.3571987"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2025.3571987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3571987","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-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/A5101841925","display_name":"Jiyong Zhang","orcid":"https://orcid.org/0000-0002-5632-3058"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiyong Zhang","raw_affiliation_strings":["School of Information Technology, Luoyang Normal University, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5632-3058","affiliations":[{"raw_affiliation_string":"School of Information Technology, Luoyang Normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengyue Guan","orcid":"https://orcid.org/0009-0001-7517-8124"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyue Guan","raw_affiliation_strings":["School of Information Technology, Luoyang Normal University, Luoyang, China"],"raw_orcid":"https://orcid.org/0009-0001-7517-8124","affiliations":[{"raw_affiliation_string":"School of Information Technology, Luoyang Normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["School of Information Technology, Luoyang Normal University, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Luoyang Normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570074","display_name":"Zeyan Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyan Jin","raw_affiliation_strings":["School of Information Technology, Luoyang Normal University, Luoyang, China"],"raw_orcid":"https://orcid.org/0009-0004-4460-1796","affiliations":[{"raw_affiliation_string":"School of Information Technology, Luoyang Normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009511457","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-5725-0399"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Fuyao University of Science and Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5725-0399","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Fuyao University of Science and Technology, Fuzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043259697","display_name":"William Cheng\u2010Chung Chu","orcid":"https://orcid.org/0000-0001-7479-3486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Cheng-Chung Chu","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Fuyao University of Science and Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7479-3486","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Fuyao University of Science and Technology, Fuzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101841925"],"corresponding_institution_ids":["https://openalex.org/I4210117164"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0987914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":"4","first_page":"5603","last_page":"5617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9907000064849854,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9907000064849854,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9419000148773193,"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/T10320","display_name":"Neural Networks and Applications","score":0.9341999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6955488920211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577836275100708},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5995622873306274},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5954222679138184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5596767067909241},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5193610787391663},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5129044055938721},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.422693133354187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3472050428390503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20421338081359863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1890997290611267},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.10401448607444763}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6955488920211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577836275100708},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5995622873306274},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5954222679138184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5596767067909241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5193610787391663},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5129044055938721},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.422693133354187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3472050428390503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20421338081359863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1890997290611267},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.10401448607444763},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2025.3571987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3571987","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2594069063","https://openalex.org/W2752782242","https://openalex.org/W2794825826","https://openalex.org/W2884436604","https://openalex.org/W2900954917","https://openalex.org/W2971013993","https://openalex.org/W2980246484","https://openalex.org/W2991372685","https://openalex.org/W3035524453","https://openalex.org/W3145450063","https://openalex.org/W3158485476","https://openalex.org/W3177052299","https://openalex.org/W3211326549","https://openalex.org/W4221031620","https://openalex.org/W4221100204","https://openalex.org/W4287322212","https://openalex.org/W4291023040","https://openalex.org/W4312084891","https://openalex.org/W4319996358","https://openalex.org/W4327909703","https://openalex.org/W4365504037","https://openalex.org/W4385236184","https://openalex.org/W4386076243","https://openalex.org/W4387211614","https://openalex.org/W4389000668","https://openalex.org/W4389160174","https://openalex.org/W4389213185","https://openalex.org/W4391109864","https://openalex.org/W4392013871","https://openalex.org/W4393149370","https://openalex.org/W4394938905","https://openalex.org/W4401725766","https://openalex.org/W4402509827","https://openalex.org/W4402816854","https://openalex.org/W4404199198","https://openalex.org/W4404783774","https://openalex.org/W4405740209","https://openalex.org/W4409367393","https://openalex.org/W4412791383"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,69,80,104,131,137,151,213],"effectiveness":[1],"and":[2,14,25,29,58,62,65,94,121,128,170,183,204],"robustness":[3,179],"of":[4,16,73,164,180,206],"medical":[5,46],"image":[6,36,47],"segmentation":[7,27,37],"algorithms":[8],"inextricably":[9],"depends":[10],"on":[11,197],"the":[12,41,55,63,162,165,178,181,207],"quality":[13],"quantity":[15],"training":[17,24,208,225],"data.":[18,190,226],"Insufficient":[19],"data":[20],"continually":[21],"restricts":[22],"model":[23,38,167,182,219],"affects":[26],"accuracy":[28],"robustness.":[30],"We":[31],"rigorously":[32],"create":[33],"a":[34],"reliable":[35],"to":[39,87,168],"tackle":[40],"challenges":[42],"presented":[43],"by":[44,110,143],"constrained":[45],"datasets.":[48],"Our":[49],"method":[50],"integrates":[51,154],"two":[52,74,135,175],"novel":[53],"components:":[54],"coordinate":[56,84],"attention":[57,85],"identity":[59,113],"(CAI)":[60],"module":[61,71,133],"Kolmogorov\u2013Arnold":[64,155],"squeeze-and-excitation":[66,149],"(KASE)":[67],"module.":[68],"CAI":[70],"consists":[72],"branches":[75],"that":[76,217],"enhance":[77,177],"feature":[78],"representation.":[79],"initial":[81,138],"branch":[82,106,139,153],"utilizes":[83,107],"techniques":[86],"detect":[88],"cross-channel":[89],"dependency.":[90],"This":[91,115,160],"offers":[92],"location-specific":[93],"directionally":[95],"aware":[96],"information":[97],"crucial":[98],"for":[99],"precisely":[100],"identifying":[101],"target":[102],"areas.":[103],"second":[105],"features":[108,127],"produced":[109],"convolution":[111],"as":[112,119],"mappings.":[114],"tackles":[116],"problems":[117],"such":[118],"vanishing":[120],"exploding":[122],"gradients":[123],"while":[124],"maintaining":[125],"essential":[126],"semantic":[129],"information.":[130],"KASE":[132],"comprises":[134],"branches.":[136],"improves":[140,184],"weight":[141],"calculations":[142],"extracting":[144],"global":[145],"context":[146],"through":[147],"multiscale":[148],"methods.":[150],"other":[152],"networks":[156],"with":[157],"convolutional":[158],"operations.":[159],"enhances":[161],"capacity":[163],"proposed":[166],"learn":[169],"represent":[171],"complex":[172],"features.":[173],"These":[174],"modules":[176],"its":[185],"generalization":[186],"across":[187],"varied":[188],"input":[189],"Finally,":[191],"we":[192],"train":[193],"multiple":[194,198],"state-of-the-art":[195],"models":[196],"datasets":[199],"using":[200],"100%,":[201],"20%,":[202],"10%,":[203],"5%":[205],"set":[209],"in":[210],"each":[211],"dataset.":[212],"test":[214],"results":[215],"show":[216],"our":[218],"achieves":[220],"competitive":[221],"performance":[222],"despite":[223],"limited":[224]},"counts_by_year":[],"updated_date":"2025-12-03T23:09:05.601824","created_date":"2025-10-10T00:00:00"}
