{"id":"https://openalex.org/W7133196087","doi":"https://doi.org/10.1016/j.bspc.2026.110023","title":"DEGF-Net: Dual-Encoder Global\u2013Local Joint Feature Aggregation Network for colorectal polyp segmentation","display_name":"DEGF-Net: Dual-Encoder Global\u2013Local Joint Feature Aggregation Network for colorectal polyp segmentation","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133196087","doi":"https://doi.org/10.1016/j.bspc.2026.110023"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.110023","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110023","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.bspc.2026.110023","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127827606","display_name":"He Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Yu","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China","Key Laboratory of Intelligent Rehabilitation and Barrier-free for the Disabled Ministry of Education, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Rehabilitation and Barrier-free for the Disabled Ministry of Education, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035373199","display_name":"Jinming Guo","orcid":"https://orcid.org/0000-0001-6137-6683"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinming Guo","raw_affiliation_strings":["College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127780896","display_name":"Xiaorui Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Cao","raw_affiliation_strings":["College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127866915","display_name":"Xuan LI","orcid":null},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Li","raw_affiliation_strings":["College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127871710","display_name":"Yulong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Li","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127855398","display_name":"Jianying Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianying Hao","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127794438","display_name":"Haoming Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoming Yang","raw_affiliation_strings":["College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Changchun University, Changchun, 130022, PR China","institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127844601","display_name":"Xi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zhou","raw_affiliation_strings":["Centre for AI and Data Science Innovation, James Cook University, Cairns, 4878, Queensland, Australia","College of Science and Engineering, James Cook University, Cairns, 4878, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for AI and Data Science Innovation, James Cook University, Cairns, 4878, Queensland, Australia","institution_ids":["https://openalex.org/I86467917"]},{"raw_affiliation_string":"College of Science and Engineering, James Cook University, Cairns, 4878, Queensland, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127828542","display_name":"Tao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tao Huang","raw_affiliation_strings":["Centre for AI and Data Science Innovation, James Cook University, Cairns, 4878, Queensland, Australia","College of Science and Engineering, James Cook University, Cairns, 4878, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for AI and Data Science Innovation, James Cook University, Cairns, 4878, Queensland, Australia","institution_ids":["https://openalex.org/I86467917"]},{"raw_affiliation_string":"College of Science and Engineering, James Cook University, Cairns, 4878, Queensland, Australia","institution_ids":["https://openalex.org/I86467917"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5127827606","https://openalex.org/A5127828542"],"corresponding_institution_ids":["https://openalex.org/I106645853","https://openalex.org/I49232843","https://openalex.org/I86467917"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":{"value":2420,"currency":"USD","value_usd":2420},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.636144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"120","issue":null,"first_page":"110023","last_page":"110023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.5600000023841858,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.5600000023841858,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.13650000095367432,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.10719999670982361,"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/segmentation","display_name":"Segmentation","score":0.6468999981880188},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5626000165939331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.559499979019165},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4903999865055084},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4747999906539917},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.45080000162124634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4406000077724457},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43380001187324524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900000214576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934000253677368},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6468999981880188},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4903999865055084},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.45080000162124634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C2910564736","wikidata":"https://www.wikidata.org/wiki/Q1209892","display_name":"Colorectal Polyp","level":5,"score":0.420199990272522},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.35019999742507935},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3472000062465668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.110023","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110023","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.bspc.2026.110023","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110023","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1965415664","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2113414502","https://openalex.org/W2150769593","https://openalex.org/W2285968993","https://openalex.org/W2963881378","https://openalex.org/W3100548413","https://openalex.org/W3120333390","https://openalex.org/W3138516171","https://openalex.org/W3198147788","https://openalex.org/W3209987414","https://openalex.org/W4200051578","https://openalex.org/W4206693420","https://openalex.org/W4212875960","https://openalex.org/W4226497331","https://openalex.org/W4312443924","https://openalex.org/W4313007769","https://openalex.org/W4381059869","https://openalex.org/W4384159609","https://openalex.org/W4387824354","https://openalex.org/W4388842065","https://openalex.org/W4389616963","https://openalex.org/W4392651734","https://openalex.org/W4394579841","https://openalex.org/W4399217842","https://openalex.org/W4400881081"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,205],"of":[2,16,178,266],"colorectal":[3,17,214,226],"polyps":[4],"in":[5,22,117],"colonoscopy":[6,162],"images":[7],"is":[8,141,223,280],"crucial":[9],"for":[10,37,212,225],"early":[11],"prevention":[12],"and":[13,28,39,42,63,77,93,128,131,146,155,165,180,187,190,206,240,256,268,272,277,284],"computer-aided":[14,213],"diagnosis":[15],"cancer,":[18],"yet":[19],"large":[20],"variations":[21],"polyp":[23,133,204,227],"appearance,":[24],"low":[25],"polyp-mucosa":[26],"contrast,":[27],"device-related":[29],"imaging":[30],"discrepancies":[31],"still":[32],"hinder":[33],"robust":[34],"performance,":[35],"especially":[36],"small":[38],"flat":[40],"lesions":[41],"cross-dataset":[43,193,276],"generalization.":[44,65,194],"To":[45],"address":[46],"these":[47],"challenges,":[48],"we":[49],"propose":[50],"a":[51,68,101,137,170,208],"Dual-Encoder":[52],"Global\u2013Local":[53],"Joint":[54,83],"Feature":[55,84,108],"Aggregation":[56],"Network":[57],"(DEGF-Net)":[58],"that":[59,71,168,198],"enhances":[60],"feature":[61,233],"fusion":[62,116,234,247],"improves":[64],"DEGF-Net":[66,173,199],"adopts":[67],"dual-encoder":[69,221],"architecture":[70],"separately":[72],"models":[73],"long-range":[74],"global":[75,89,231,254],"context":[76,255],"fine-grained":[78],"local":[79],"textures.":[80],"A":[81,218,230,244],"Global":[82],"Fusion":[85,109],"Module":[86,110],"(GFFM)":[87],"employs":[88],"attention":[90],"to":[91,120,143,149],"align":[92],"aggregate":[94],"high-level":[95,126,238],"features":[96],"from":[97],"both":[98],"branches":[99],"into":[100],"unified":[102,171],"representation,":[103],"while":[104],"an":[105],"Upper-Lower":[106],"Level":[107],"(UL-FM)":[111],"performs":[112],"residual":[113,245],"multi-scale":[114],"cross-layer":[115],"the":[118,122,144,250],"decoder":[119],"narrow":[121],"semantic":[123,251],"gap":[124,252],"between":[125,253],"semantics":[127],"low-level":[129],"details":[130],"refine":[132],"boundaries.":[134],"In":[135],"addition,":[136],"multi-output":[138],"hybrid":[139,188],"loss":[140],"applied":[142],"final":[145],"intermediate":[147],"predictions":[148],"leverage":[150],"deep":[151],"supervision,":[152],"accelerate":[153],"convergence,":[154],"improve":[156,202],"robustness.":[157],"Experiments":[158],"on":[159,270,282],"two":[160],"benchmark":[161],"datasets,":[163],"Kvasir-SEG":[164,271],"CVC-ClinicDB,":[166],"show":[167],"under":[169],"setting,":[172],"achieves":[174,263],"mean":[175],"Dice":[176,264],"scores":[177,265],"0.933":[179,267],"0.958,":[181],"respectively,":[182],"surpassing":[183],"recent":[184],"CNN-based,":[185],"Transformer-based,":[186],"architectures":[189],"exhibiting":[191],"strong":[192],"These":[195],"results":[196],"indicate":[197],"can":[200],"substantially":[201],"automatic":[203],"provide":[207],"promising":[209],"technical":[210],"basis":[211],"cancer":[215],"screening.":[216],"\u2022":[217,229,243,259,274],"novel":[219],"CNN-Transformer":[220],"framework":[222],"proposed":[224,261],"segmentation.":[228],"joint":[232],"module":[235],"explicitly":[236],"aligns":[237],"CNN":[239],"Transformer":[241],"semantics.":[242],"cross-scale":[246],"strategy":[248],"bridges":[249],"fine":[257],"details.":[258],"The":[260],"method":[262],"0.958":[269],"CVC-ClinicDB.":[273],"Strong":[275],"cross-domain":[278],"generalization":[279],"demonstrated":[281],"retinal":[283],"cell":[285],"datasets.":[286]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-03T00:00:00"}
