{"id":"https://openalex.org/W4415624313","doi":"https://doi.org/10.1109/access.2025.3626455","title":"A Modified nnWNet Architecture With Multi-Scale and State-Space Enhancements for Medical Image Segmentation","display_name":"A Modified nnWNet Architecture With Multi-Scale and State-Space Enhancements for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415624313","doi":"https://doi.org/10.1109/access.2025.3626455"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3626455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3626455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3626455","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074457116","display_name":"Dianyuan Li","orcid":"https://orcid.org/0009-0008-0809-3519"},"institutions":[{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianyuan Li","raw_affiliation_strings":["Shandong First Medical University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0008-0809-3519","affiliations":[{"raw_affiliation_string":"Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114207770","display_name":"Yixuan Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Xin","raw_affiliation_strings":["Shandong First Medical University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinghua Li","orcid":"https://orcid.org/0009-0004-5906-3513"},"institutions":[{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Li","raw_affiliation_strings":["Shandong First Medical University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0004-5906-3513","affiliations":[{"raw_affiliation_string":"Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210163399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734331","display_name":"Zhen Chao","orcid":"https://orcid.org/0000-0001-6400-3321"},"institutions":[{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chao","raw_affiliation_strings":["Shandong First Medical University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210163399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163399"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27462574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"189140","last_page":"189149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9258999824523926,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9258999824523926,"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/T11019","display_name":"Image Enhancement Techniques","score":0.015599999576807022,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.004699999932199717,"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/jaccard-index","display_name":"Jaccard index","score":0.875},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7204999923706055},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6054999828338623},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.597000002861023},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5479000210762024},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5403000116348267},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.529699981212616},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46239998936653137}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065999746322632},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7204999923706055},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6054999828338623},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.597000002861023},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5479000210762024},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5403000116348267},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.529699981212616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48649999499320984},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.42989999055862427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4043999910354614},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3626455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3626455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8f9c0f18f7644fecab35754209c015a6","is_oa":true,"landing_page_url":"https://doaj.org/article/8f9c0f18f7644fecab35754209c015a6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 189140-189149 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3626455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3626455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7201638816","display_name":null,"funder_award_id":"82001905","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"WNet2D,":[2],"a":[3,40,101,145],"lightweight":[4],"enhancement":[5],"to":[6,14],"nnWNet":[7],"for":[8,31,35,45],"medical":[9],"image":[10],"segmentation":[11],"that":[12],"aims":[13],"preserve":[15],"fine":[16],"boundaries":[17],"while":[18],"enforcing":[19],"global":[20],"consistency":[21,137],"under":[22,100],"small-cohort":[23],"settings.":[24],"WNet2D":[25,53,143],"introduces":[26],"three":[27],"complementary":[28],"modules:":[29],"MS-LSB":[30],"shallow-edge":[32],"modeling,":[33],"E-GSB":[34],"mid-level":[36],"semantic":[37],"aggregation,":[38],"and":[39,51,60,78,114,135,149,154],"single":[41],"bottleneck":[42],"M-GSB":[43],"(Mamba)":[44],"deep":[46,130],"long-range":[47,136],"dependencies.":[48],"On":[49],"Kvasir-SEG":[50],"PH2,":[52],"achieves":[54],"absolute":[55],"Dice/Jaccard":[56],"gains":[57,71],"of":[58],"+1.22/+0.58":[59],"+0.27/+0.20":[61],"percentage":[62],"points":[63],"over":[64],"nnWNet,":[65],"respectively;":[66],"on":[67,79],"ISIC":[68],"2017":[69],"the":[70,90,93],"are":[72],"small":[73],"(Dice":[74,85],"+0.07,":[75],"Jaccard":[76,87],"+0.17),":[77],"DRIVE":[80],"performance":[81],"is":[82],"broadly":[83],"comparable":[84],"\u22120.72,":[86],"+0.14).":[88],"Despite":[89],"higher":[91],"accuracy,":[92],"network":[94],"remains":[95],"compact":[96],"(4.00M":[97],"parameters)":[98],"and,":[99],"unified":[102],"FP32,":[103],"512\u00d7512,":[104],"batch-1":[105],"protocol":[106],"across":[107,152],"multiple":[108],"GPUs,":[109],"delivers":[110],"\u224842\u201346%":[111],"lower":[112,116],"latency":[113],"\u224885%":[115],"peak":[117],"GPU":[118],"memory":[119],"than":[120],"nnWNet.":[121],"The":[122],"design":[123],"choice\u2014attention-free":[124],"shallow/mid":[125],"stages":[126],"paired":[127],"with":[128],"one":[129],"state-space":[131],"block\u2014improves":[132],"boundary":[133],"fidelity":[134],"without":[138],"added":[139],"deployment":[140],"complexity.":[141],"Overall,":[142],"offers":[144],"favorable":[146],"accuracy\u2013efficiency":[147],"trade-off":[148],"practical":[150],"deployability":[151],"modalities":[153],"hardware.":[155]},"counts_by_year":[],"updated_date":"2025-11-08T23:21:52.890332","created_date":"2025-10-28T00:00:00"}
