{"id":"https://openalex.org/W4409039648","doi":"https://doi.org/10.3390/sym17040531","title":"BAG-Net: A Novel Architecture for Enhanced Medical Image Segmentation with Global Context Attention and Boundary Self-Attention","display_name":"BAG-Net: A Novel Architecture for Enhanced Medical Image Segmentation with Global Context Attention and Boundary Self-Attention","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4409039648","doi":"https://doi.org/10.3390/sym17040531"},"language":"en","primary_location":{"id":"doi:10.3390/sym17040531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040531","pdf_url":"https://www.mdpi.com/2073-8994/17/4/531/pdf?version=1743422212","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/4/531/pdf?version=1743422212","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111071081","display_name":"Yuyang Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Lei","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111228289","display_name":"Shengxian Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxian Yan","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080322771","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-5009-7707"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092277199","display_name":"Xiang Li","orcid":"https://orcid.org/0009-0000-6444-6157"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012690","display_name":"Penghui Wang","orcid":"https://orcid.org/0000-0003-4046-163X"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penghui Wang","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977577","display_name":"Xiao Gao","orcid":"https://orcid.org/0000-0002-2964-0605"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Gao","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026905080","display_name":"Hui Cao","orcid":"https://orcid.org/0000-0002-1246-2128"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Cao","raw_affiliation_strings":["Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Ultrasonics, School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an 710119, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026905080"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.0951,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74528813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"17","issue":"4","first_page":"531","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9980999827384949,"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/architecture","display_name":"Architecture","score":0.5903398990631104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828256607055664},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5533105731010437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329920053482056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.519113302230835},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47770074009895325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4370572566986084},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.415775865316391},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4125761389732361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17968595027923584},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17903000116348267},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.09892624616622925},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07952916622161865}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5903398990631104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828256607055664},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5533105731010437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329920053482056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.519113302230835},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47770074009895325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4370572566986084},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.415775865316391},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4125761389732361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17968595027923584},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17903000116348267},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.09892624616622925},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07952916622161865},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17040531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040531","pdf_url":"https://www.mdpi.com/2073-8994/17/4/531/pdf?version=1743422212","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17040531","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040531","pdf_url":"https://www.mdpi.com/2073-8994/17/4/531/pdf?version=1743422212","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7336379917","display_name":null,"funder_award_id":"12374440","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4409039648.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2499316477","https://openalex.org/W2752782242","https://openalex.org/W3037009403","https://openalex.org/W3096947210","https://openalex.org/W3132455321","https://openalex.org/W3163652268","https://openalex.org/W3168649818","https://openalex.org/W3174135168","https://openalex.org/W3176469180","https://openalex.org/W3187589338","https://openalex.org/W3201038330","https://openalex.org/W4200015473","https://openalex.org/W4200056233","https://openalex.org/W4289085709","https://openalex.org/W4291189470","https://openalex.org/W4312649221","https://openalex.org/W4372347372","https://openalex.org/W4376109782","https://openalex.org/W4384558444","https://openalex.org/W4385607506","https://openalex.org/W4386561400","https://openalex.org/W4390873076","https://openalex.org/W4392286435","https://openalex.org/W4392369706","https://openalex.org/W4393144087","https://openalex.org/W4396545774","https://openalex.org/W4401725766","https://openalex.org/W4402904185","https://openalex.org/W4407682131","https://openalex.org/W4407943752","https://openalex.org/W6772750526"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W4205824991","https://openalex.org/W4389858081","https://openalex.org/W3200723557","https://openalex.org/W4312713546","https://openalex.org/W2362195430","https://openalex.org/W2347494122","https://openalex.org/W1522196789"],"abstract_inverted_index":{"U-Net":[0,122],"and":[1,16,33,69,165,168,197],"its":[2],"various":[3],"variants":[4],"have":[5],"been":[6,20],"widely":[7],"applied":[8],"in":[9,13,22,30,41,74,133],"medical":[10,43,191],"image":[11,192],"segmentation":[12,25,78,193],"recent":[14],"years,":[15],"significant":[17],"success":[18],"has":[19],"achieved":[21],"addressing":[23],"complex":[24,77],"tasks.":[26,79],"These":[27],"networks":[28,48],"excel":[29],"feature":[31,52],"extraction":[32],"enable":[34],"efficient":[35],"identification":[36],"of":[37,154,190],"key":[38],"structural":[39],"features":[40,68,103],"diverse":[42],"images.":[44],"However,":[45],"convolutional":[46],"neural":[47],"face":[49],"limitations":[50],"during":[51],"extraction,":[53],"especially":[54],"when":[55],"modeling":[56],"long-range":[57,117],"contextual":[58,99,118],"dependencies.":[59],"This":[60],"limitation":[61],"hinders":[62],"their":[63],"ability":[64],"to":[65,135,147,160],"capture":[66,148],"global":[67,98,110,166],"may":[70],"cause":[71],"a":[72,84,109,121,141,200],"decline":[73],"performance":[75,182],"for":[76,187,203],"To":[80],"address":[81],"these":[82,155],"challenges,":[83],"novel":[85],"architecture":[86],"called":[87],"BAG-Net":[88,159,176],"(Boundary":[89],"And":[90],"Global":[91],"Attention":[92],"Network)":[93],"is":[94,124,145],"proposed":[95],"that":[96,175],"integrates":[97],"information":[100,167],"with":[101],"local":[102,137,164],"more":[104],"effectively.":[105],"The":[106,151],"network":[107],"includes":[108],"context":[111],"attention":[112],"component,":[113],"which":[114],"helps":[115],"model":[116],"features.":[119],"Furthermore,":[120],"variant":[123],"created":[125],"by":[126],"introducing":[127],"SE-Net":[128],"into":[129],"the":[130,188],"skip":[131],"connections":[132],"order":[134],"extract":[136],"information.":[138],"In":[139],"addition,":[140],"boundary":[142,149],"self-attention":[143],"component":[144],"employed":[146],"details.":[150],"combined":[152],"effect":[153],"three":[156],"components":[157],"enables":[158],"fully":[161],"exploit":[162],"both":[163],"achieve":[169],"high-precision":[170],"segmentation.":[171],"Experimental":[172],"results":[173],"show":[174],"outperforms":[177],"traditional":[178],"methods":[179],"across":[180],"all":[181],"metrics.":[183],"Thus,":[184],"new":[185],"perspectives":[186],"advancement":[189],"techniques":[194],"are":[195],"offered,":[196],"this":[198],"provides":[199],"valuable":[201],"reference":[202],"clinical":[204],"applications.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}