{"id":"https://openalex.org/W4393241329","doi":"https://doi.org/10.1109/jbhi.2024.3381891","title":"WDFF-Net: Weighted Dual-Branch Feature Fusion Network for Polyp Segmentation With Object-Aware Attention Mechanism","display_name":"WDFF-Net: Weighted Dual-Branch Feature Fusion Network for Polyp Segmentation With Object-Aware Attention Mechanism","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393241329","doi":"https://doi.org/10.1109/jbhi.2024.3381891","pmid":"https://pubmed.ncbi.nlm.nih.gov/38536686"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3381891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3381891","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5104651785","display_name":"Jie Cao","orcid":"https://orcid.org/0009-0000-0614-5364"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cao","raw_affiliation_strings":["Information Faculty, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-0614-5364","affiliations":[{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327948","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-4483-5830"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210126517","display_name":"Wangjing Hospital of China Academy of Chinese Medical Sciences","ror":"https://ror.org/02fn8j763","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210126517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China","Information Faculty, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210126517"]},{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054250124","display_name":"Zhiwei Qu","orcid":"https://orcid.org/0000-0001-9886-914X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Qu","raw_affiliation_strings":["Information Faculty, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9886-914X","affiliations":[{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448036","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-9937-2669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Information Faculty, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9937-2669","affiliations":[{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373866","display_name":"Xiaoguang Li","orcid":"https://orcid.org/0000-0002-7307-6263"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Li","raw_affiliation_strings":["Information Faculty, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7307-6263","affiliations":[{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715414","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-8012-4684"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Information Faculty, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8012-4684","affiliations":[{"raw_affiliation_string":"Information Faculty, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397738","display_name":"Yang\ufffd Yang","orcid":"https://orcid.org/0000-0003-1222-1209"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210126517","display_name":"Wangjing Hospital of China Academy of Chinese Medical Sciences","ror":"https://ror.org/02fn8j763","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210126517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210126517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323653","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0001-7821-340X"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210126517","display_name":"Wangjing Hospital of China Academy of Chinese Medical Sciences","ror":"https://ror.org/02fn8j763","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210126517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traditional Chinese Medicine Treatment of Functional Gastrointestinal Diseases, Wangjing Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210126517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0342,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88908174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"7","first_page":"4118","last_page":"4131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9907000064849854,"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":0.9907000064849854,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9779999852180481,"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/T10862","display_name":"AI in cancer detection","score":0.9702000021934509,"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/segmentation","display_name":"Segmentation","score":0.765514612197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7272503972053528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6879377961158752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6860926151275635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6213829517364502},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5756597518920898},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5519306063652039},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.42734023928642273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42139533162117004},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41229674220085144},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3968397080898285}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.765514612197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272503972053528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879377961158752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6860926151275635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6213829517364502},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5756597518920898},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5519306063652039},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.42734023928642273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42139533162117004},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41229674220085144},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3968397080898285},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003111","descriptor_name":"Colonic Polyps","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003111","descriptor_name":"Colonic Polyps","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003111","descriptor_name":"Colonic Polyps","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003111","descriptor_name":"Colonic Polyps","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003111","descriptor_name":"Colonic Polyps","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3381891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3381891","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38536686","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38536686","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5108751638","display_name":null,"funder_award_id":"62276012","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2285968993","https://openalex.org/W2554395215","https://openalex.org/W2556108308","https://openalex.org/W2560328367","https://openalex.org/W2884436604","https://openalex.org/W2896194744","https://openalex.org/W2921406441","https://openalex.org/W2966434031","https://openalex.org/W2984294507","https://openalex.org/W2987175876","https://openalex.org/W2996603555","https://openalex.org/W2997286550","https://openalex.org/W2999580839","https://openalex.org/W3017153481","https://openalex.org/W3034552520","https://openalex.org/W3035661013","https://openalex.org/W3083508853","https://openalex.org/W3095725150","https://openalex.org/W3096947210","https://openalex.org/W3103611212","https://openalex.org/W3104061658","https://openalex.org/W3167706095","https://openalex.org/W3177634011","https://openalex.org/W3182105266","https://openalex.org/W3203480968","https://openalex.org/W3204995672","https://openalex.org/W4226068227","https://openalex.org/W4280561527","https://openalex.org/W4295915728","https://openalex.org/W4295934721","https://openalex.org/W4299652825","https://openalex.org/W4319298404","https://openalex.org/W4376109476","https://openalex.org/W4382877880","https://openalex.org/W6755808572","https://openalex.org/W6784598513","https://openalex.org/W6850937164"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Colon":[0],"polyps":[1,107],"in":[2,8,134,156],"colonoscopy":[3],"images":[4],"exhibit":[5],"significant":[6,16],"differences":[7],"color,":[9],"size,":[10],"shape,":[11,138],"appearance,":[12],"and":[13,60,71,89,119,137,152,176,241],"location,":[14],"posing":[15],"challenges":[17],"to":[18,98,126,168,183,213],"accurate":[19],"polyp":[20,135,224],"segmentation.":[21],"In":[22],"this":[23],"paper,":[24],"a":[25,46,56,190,233],"Weighted":[26],"Dual-branch":[27],"Feature":[28,67,73],"Fusion":[29,68,74],"Network":[30],"is":[31,52,97,125,166,197],"proposed":[32,167,229],"for":[33,86,144,210],"Polyp":[34],"Segmentation,":[35],"named":[36],"WDFF-Net,":[37],"which":[38,54,200],"adopts":[39],"HarDNet68":[40],"as":[41],"the":[42,80,100,114,128,129,140,170,173,180,186,193,203,207,228],"backbone":[43],"network.":[44],"First,":[45],"dual-branch":[47,192],"feature":[48,58,62],"fusion":[49,63,92],"network":[50],"architecture":[51],"constructed,":[53],"includes":[55],"shared":[57],"extractor":[59],"two":[61,148,211],"branches,":[64],"i.e.":[65],"Progressive":[66],"(PFF)":[69],"branch":[70,96,124],"Scale-aware":[72],"(SFF)":[75],"branch.":[76],"The":[77,94,122],"branches":[78,149,212],"fuse":[79],"deep":[81],"features":[82,115,171],"of":[83,105,131,172,179,206],"multiple":[84],"layers":[85],"different":[87,91,154],"purposes":[88],"with":[90,108,185,237],"ways.":[93],"PFF":[95],"address":[99],"under-segmentation":[101],"or":[102],"over-segmentation":[103],"problems":[104],"flat":[106],"low-edge":[109],"contrast":[110],"by":[111],"iteratively":[112],"fusing":[113],"from":[116],"low,":[117],"medium,":[118],"high":[120],"layers.":[121],"SFF":[123],"tackle":[127],"problem":[130,143],"drastic":[132],"variations":[133],"size":[136],"especially":[139],"missed":[141],"segmentation":[142,158,187,194,235],"small":[145],"polyps.":[146],"These":[147],"are":[150],"complementary":[151],"play":[153],"roles,":[155],"improving":[157],"accuracy.":[159],"Second,":[160],"an":[161],"Object-aware":[162],"Attention":[163],"Mechanism":[164],"(OAM)":[165],"enhance":[169],"target":[174],"regions":[175],"suppress":[177],"those":[178],"background":[181],"regions,":[182],"interfere":[184],"performance.":[188],"Third,":[189],"weighted":[191],"loss":[195,208],"function":[196],"specifically":[198],"designed,":[199],"dynamically":[201],"assigns":[202],"weight":[204],"factors":[205],"functions":[209],"optimize":[214],"their":[215],"collaborative":[216],"training.":[217],"Experimental":[218],"results":[219],"on":[220],"five":[221],"public":[222],"colon":[223],"datasets":[225],"demonstrate":[226],"that,":[227],"WDFF-Net":[230],"can":[231],"achieve":[232],"superior":[234],"performance":[236],"lower":[238],"model":[239],"complexity":[240],"faster":[242],"inference":[243],"speed,":[244],"while":[245],"maintaining":[246],"good":[247],"generalization":[248],"ability.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
