{"id":"https://openalex.org/W4402352510","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650540","title":"DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation","display_name":"DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352510","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650540"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5048583402","display_name":"Fuyun He","orcid":"https://orcid.org/0000-0001-9798-8673"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyun He","raw_affiliation_strings":["Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594817","display_name":"Haixing Song","orcid":"https://orcid.org/0000-0003-1291-155X"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixing Song","raw_affiliation_strings":["Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066860206","display_name":"Guanglian Li","orcid":"https://orcid.org/0000-0003-0615-2681"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglian Li","raw_affiliation_strings":["Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101898221","display_name":"Junyu Zhang","orcid":"https://orcid.org/0000-0002-2631-0192"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Zhang","raw_affiliation_strings":["Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Normal University,School of Electronic and Information Engineering,Guilin,China,541004","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4299,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63857466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.6796448230743408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253652572631836},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5374712347984314},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5129237174987793},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4809947907924652},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4556354582309723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4541487395763397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4535634219646454},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43526729941368103},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4294658303260803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11980944871902466},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09899917244911194},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.058217763900756836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796448230743408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253652572631836},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5374712347984314},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5129237174987793},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4809947907924652},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4556354582309723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4541487395763397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4535634219646454},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43526729941368103},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4294658303260803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11980944871902466},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09899917244911194},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.058217763900756836},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325559","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1965637518","https://openalex.org/W2034773856","https://openalex.org/W2041851797","https://openalex.org/W2053802831","https://openalex.org/W2058785803","https://openalex.org/W2069702026","https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2907750714","https://openalex.org/W2921406441","https://openalex.org/W2962914239","https://openalex.org/W3013198566","https://openalex.org/W3015788359","https://openalex.org/W3088226460","https://openalex.org/W3094502228","https://openalex.org/W3098656187","https://openalex.org/W3127751679","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3141949304","https://openalex.org/W3177052299","https://openalex.org/W3203480968","https://openalex.org/W3203841574","https://openalex.org/W3204166336","https://openalex.org/W3204255739","https://openalex.org/W3211490618","https://openalex.org/W4212875960","https://openalex.org/W4317515509","https://openalex.org/W4321232185","https://openalex.org/W4379933383","https://openalex.org/W4385245566","https://openalex.org/W4386046221","https://openalex.org/W4387430177","https://openalex.org/W6682889407","https://openalex.org/W6753182481","https://openalex.org/W6780226713","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6790275670","https://openalex.org/W6853219321"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W2099421762","https://openalex.org/W3046201198","https://openalex.org/W2530546662","https://openalex.org/W4293061921","https://openalex.org/W2967030268","https://openalex.org/W2515288625"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"become":[5],"the":[6,10,19,29,66,70,88,92,100,104,114,117,150,162,192],"mainstream":[7],"technology":[8],"in":[9,39,46,103,136,161],"field":[11],"of":[12,22,69,116,143,179,185],"biomedical":[13,170],"image":[14],"segmentation.":[15],"However,":[16],"due":[17],"to":[18,27,138],"inherent":[20],"locality":[21],"convolutional":[23],"operations,":[24],"CNNs":[25],"tend":[26],"ignore":[28],"relationships":[30],"between":[31],"remote":[32],"pixels.":[33],"In":[34],"contrast,":[35],"Transformer":[36,71,94,105],"performs":[37],"well":[38],"capturing":[40],"global":[41,146],"feature":[42,50,84,152,157],"information":[43],"but":[44],"weakly":[45],"extracting":[47],"fine-grained":[48],"local":[49,144],"information.":[51],"To":[52],"solve":[53],"this,":[54],"we":[55,80,98,154],"propose":[56,81],"a":[57,140,156,175,182],"novel":[58],"dual-coding":[59],"fusion":[60,142,159],"network":[61],"that":[62,121,191],"can":[63],"effectively":[64],"combine":[65],"respective":[67],"advantages":[68],"and":[72,91,131,145,181],"CNN.":[73],"DCF-Net":[74,194],"adopts":[75],"an":[76],"encoder-decoder":[77],"structure.":[78],"Firstly,":[79],"two":[82],"multi-scale":[83,151],"representations":[85],"based":[86],"on":[87,124,169],"CNN":[89],"encoder":[90],"Swin":[93],"encoder,":[95],"respectively.":[96],"Secondly,":[97],"reconstruct":[99],"self-attention":[101,119],"mechanism":[102],"branch":[106],"by":[107],"shifting":[108],"window":[109],"adaptive":[110],"complementary":[111],"attention,":[112],"overcoming":[113],"shortcoming":[115],"traditional":[118],"mechanisms":[120],"only":[122],"focus":[123],"spatial":[125],"attention":[126],"while":[127],"ignoring":[128],"channel,":[129],"spatial,":[130],"channel":[132],"cross-dimensional":[133],"attention.":[134],"Finally,":[135],"order":[137],"achieve":[139],"fine":[141],"features":[147],"obtained":[148],"from":[149],"representations,":[153],"design":[155],"interaction":[158],"module":[160],"skipping":[163],"connection":[164],"part.":[165],"We":[166],"conducted":[167],"experiments":[168],"electron":[171],"microscopy":[172],"images,":[173],"achieving":[174],"Dice":[176],"coefficient":[177],"score":[178],"93.89%":[180],"pixel":[183],"accuracy":[184],"99.01%":[186],".":[187],"Our":[188],"results":[189],"demonstrate":[190],"proposed":[193],"outperforms":[195],"state-of-the-art":[196],"approaches.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
