{"id":"https://openalex.org/W4413432057","doi":"https://doi.org/10.1155/ijbi/6656059","title":"CAGs\u2010Net: A Novel Adjacent\u2010Context Network With Channel Attention Gate for 3D Brain Tumor Image Segmentation","display_name":"CAGs\u2010Net: A Novel Adjacent\u2010Context Network With Channel Attention Gate for 3D Brain Tumor Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413432057","doi":"https://doi.org/10.1155/ijbi/6656059","pmid":"https://pubmed.ncbi.nlm.nih.gov/40894323"},"language":"en","primary_location":{"id":"doi:10.1155/ijbi/6656059","is_oa":true,"landing_page_url":"https://doi.org/10.1155/ijbi/6656059","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/ijbi/6656059","source":{"id":"https://openalex.org/S108408918","display_name":"International Journal of Biomedical Imaging","issn_l":"1687-4188","issn":["1687-4188","1687-4196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Biomedical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/ijbi/6656059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058290254","display_name":"Qianqian Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Ye","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030048058","display_name":"Yuhu Shi","orcid":"https://orcid.org/0000-0002-4009-2849"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhu Shi","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067780053","display_name":"Shunjie Guo","orcid":"https://orcid.org/0000-0002-1448-0266"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjie Guo","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030048058"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27934223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","first_page":"6656059","last_page":"6656059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9991000294685364,"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/context","display_name":"Context (archaeology)","score":0.7191028594970703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6056503057479858},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5933087468147278},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5308904051780701},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4909711182117462},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4521699845790863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3653671145439148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35269349813461304},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3522437810897827},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33509284257888794},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1067078709602356}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7191028594970703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6056503057479858},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5933087468147278},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5308904051780701},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4909711182117462},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4521699845790863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3653671145439148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35269349813461304},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3522437810897827},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33509284257888794},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1067078709602356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/ijbi/6656059","is_oa":true,"landing_page_url":"https://doi.org/10.1155/ijbi/6656059","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/ijbi/6656059","source":{"id":"https://openalex.org/S108408918","display_name":"International Journal of Biomedical Imaging","issn_l":"1687-4188","issn":["1687-4188","1687-4196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Biomedical Imaging","raw_type":"journal-article"},{"id":"pmid:40894323","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40894323","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":"International journal of biomedical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:d5d30d5e42c84a3c919f2045f4adc9a5","is_oa":true,"landing_page_url":"https://doaj.org/article/d5d30d5e42c84a3c919f2045f4adc9a5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Biomedical Imaging, Vol 2025 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11204862","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12396912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/ijbi/6656059","is_oa":true,"landing_page_url":"https://doi.org/10.1155/ijbi/6656059","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/ijbi/6656059","source":{"id":"https://openalex.org/S108408918","display_name":"International Journal of Biomedical Imaging","issn_l":"1687-4188","issn":["1687-4188","1687-4196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Biomedical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413432057.pdf","grobid_xml":"https://content.openalex.org/works/W4413432057.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1162227652","https://openalex.org/W1641498739","https://openalex.org/W1884191083","https://openalex.org/W1964123122","https://openalex.org/W1987869189","https://openalex.org/W2095705004","https://openalex.org/W2106235379","https://openalex.org/W2117340355","https://openalex.org/W2123498585","https://openalex.org/W2163605009","https://openalex.org/W2191637929","https://openalex.org/W2301358467","https://openalex.org/W2587828787","https://openalex.org/W2767720791","https://openalex.org/W2774653742","https://openalex.org/W2952756408","https://openalex.org/W2955058313","https://openalex.org/W3104370314","https://openalex.org/W4225012722","https://openalex.org/W4226304133","https://openalex.org/W4236965008","https://openalex.org/W4391070931","https://openalex.org/W4409196435","https://openalex.org/W6749954789","https://openalex.org/W6754852571"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W4403012196","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W2613671004"],"abstract_inverted_index":{"Accurate":[0],"brain":[1,203],"tumor":[2,204],"segmentation":[3,36,194],"is":[4],"essential":[5],"for":[6,63,71,202],"clinical":[7],"decision-making,":[8],"yet":[9],"remains":[10],"difficult":[11],"to":[12,135,158,177],"automate.":[13],"Key":[14],"obstacles":[15],"include":[16],"the":[17,46,98,111,145,186],"small":[18],"volume":[19],"of":[20,104],"lesions,":[21],"their":[22],"morphological":[23],"diversity,":[24],"poorly":[25],"defined":[26],"MRI":[27],"boundaries,":[28],"and":[29,106,128,152,185],"nonuniform":[30],"intensity":[31],"profiles.":[32],"Furthermore,":[33],"while":[34,61],"traditional":[35,182],"approaches":[37],"often":[38,67],"focus":[39],"on":[40],"intralayer":[41],"relevance,":[42],"they":[43],"frequently":[44],"underutilize":[45],"rich":[47],"semantic":[48,92,130],"correlations":[49],"between":[50,94],"features":[51,127,137],"extracted":[52],"from":[53],"adjacent":[54],"network":[55,88],"layers.":[56],"Concurrently,":[57],"classical":[58],"attention":[59,113,175],"mechanisms,":[60],"effective":[62,102],"highlighting":[64],"salient":[65],"regions,":[66],"lack":[68],"explicit":[69],"mechanisms":[70],"directing":[72],"feature":[73,179],"refinement":[74],"along":[75],"specific":[76],"dimensions.":[77],"To":[78],"solve":[79],"these":[80],"problems,":[81],"this":[82,118],"paper":[83],"presents":[84],"CAGs-Net,":[85],"a":[86],"novel":[87],"that":[89,190],"progressively":[90],"constructs":[91],"dependencies":[93],"neighboring":[95],"layers":[96],"in":[97,164,196],"UNet":[99],"hierarchy,":[100],"enabling":[101],"integration":[103],"local":[105],"global":[107],"contextual":[108],"information.":[109],"Meanwhile,":[110],"channel":[112,174],"gate":[114],"was":[115,156],"embedded":[116],"within":[117],"adjacent-context":[119,171],"network.":[120],"These":[121],"gates":[122,176],"strategically":[123],"fuse":[124],"shallow":[125],"appearance":[126],"deep":[129],"information,":[131],"leveraging":[132],"channel-wise":[133],"relationships":[134],"refine":[136],"by":[138],"recalibrating":[139],"voxel":[140],"spatial":[141],"responses.":[142],"In":[143],"addition,":[144],"hybrid":[146],"loss":[147,151,155],"combining":[148],"generalized":[149],"dice":[150],"binary":[153],"cross-entropy":[154],"employed":[157],"avoid":[159],"severe":[160],"class":[161],"imbalance":[162],"inherent":[163],"lesion":[165],"segmentation.":[166,206],"Therefore,":[167],"CAGs-Net":[168,191],"uniquely":[169],"combines":[170],"modeling":[172],"with":[173,198],"enhance":[178],"refinement,":[180],"outperforming":[181],"UNet-based":[183],"methods,":[184],"experimental":[187],"results":[188],"demonstrated":[189],"shows":[192],"better":[193],"performance":[195],"comparison":[197],"some":[199],"state-of-the-art":[200],"methods":[201],"image":[205]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}