{"id":"https://openalex.org/W3133394016","doi":"https://doi.org/10.1117/12.2582338","title":"DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation","display_name":"DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3133394016","doi":"https://doi.org/10.1117/12.2582338","mag":"3133394016"},"language":"en","primary_location":{"id":"doi:10.1117/12.2582338","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2582338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","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/A5055042481","display_name":"Ange Lou","orcid":"https://orcid.org/0000-0002-3983-8877"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ange Lou","raw_affiliation_strings":["The George Washington Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"The George Washington Univ. (United States)","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020362391","display_name":"Shuyue Guan","orcid":"https://orcid.org/0000-0002-3779-9368"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuyue Guan","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# The George Washington University, United States#N##TAB##TAB##TAB#"],"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# The George Washington University, United States#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071064016","display_name":"Murray H. Loew","orcid":"https://orcid.org/0000-0002-1255-9341"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murray H. Loew","raw_affiliation_strings":["The George Washington Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"The George Washington Univ. (United States)","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055042481"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":16.6466,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.99563635,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.9955999851226807,"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":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.7955818176269531},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.7487331628799438},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.689285159111023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6738599538803101},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5502179861068726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5047439336776733},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4987192153930664},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4940684139728546},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46811455488204956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.419432669878006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4093932509422302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7955818176269531},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7487331628799438},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.689285159111023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6738599538803101},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5502179861068726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5047439336776733},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4987192153930664},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4940684139728546},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46811455488204956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.419432669878006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4093932509422302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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:10.1117/12.2582338","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2582338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"has":[3,17,69],"become":[4],"much":[5],"more":[6],"popular":[7],"in":[8,21,49,57,71,157],"computer":[9],"vision":[10],"applications.":[11],"The":[12,43],"Convolutional":[13],"Neural":[14],"Network":[15],"(CNN)":[16],"brought":[18],"a":[19,112,118,127,154],"breakthrough":[20],"image":[22,40,184],"segmentation,":[23],"especially":[24],"for":[25,182],"medical":[26,39,52],"images.":[27],"In":[28,169],"this":[29,138],"regard,":[30],"the":[31,34,38,65,122,134,173,179],"UNet":[32],"is":[33],"predominant":[35],"approach":[36],"to":[37,83,92,100,121,177],"segmentation":[41],"task.":[42],"U-Net":[44,67,105,123],"not":[45],"only":[46],"performs":[47],"well":[48],"segmenting":[50],"multimodal":[51],"images":[53],"generally,":[54],"but":[55],"also":[56],"some":[58],"difficult":[59,149],"cases.":[60],"We":[61,125,140],"found,":[62],"however,":[63],"that":[64],"classical":[66,167],"architecture":[68,82,114,131],"limitations":[70],"several":[72],"respects.":[73],"Therefore,":[74],"we":[75,110,171],"applied":[76,89],"modifications:":[77],"1)":[78],"designed":[79,111],"efficient":[80],"CNN":[81,130],"replace":[84,93,178],"encoder":[85,97],"and":[86,98,132,151,162],"decoder,":[87],"2)":[88],"residual":[90],"module":[91],"skip":[94],"connection":[95],"between":[96],"decoder":[99],"improve,":[101],"based":[102,136],"on":[103,137,145],"the-state-of-the-art":[104],"model.":[106],"Following":[107],"these":[108],"modifications,":[109],"novel":[113],"--":[115],"DC-UNet,":[116],"as":[117],"potential":[119],"successor":[120],"architecture.":[124],"created":[126],"new":[128],"effective":[129],"built":[133],"DC-UNet":[135],"CNN.":[139],"have":[141,152],"evaluated":[142],"our":[143],"model":[144],"three":[146],"datasets":[147],"with":[148,166],"cases":[150],"obtained":[153],"relative":[155],"improvement":[156],"performance":[158],"of":[159],"2.90%,":[160],"1.49%,":[161],"11.42%":[163],"respectively":[164],"compared":[165],"UNet.":[168],"addition,":[170],"used":[172],"Tanimoto":[174],"similarity":[175],"measure":[176,181],"Jaccard":[180],"gray-to-gray":[183],"comparisons.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":57},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
