{"id":"https://openalex.org/W4390971133","doi":"https://doi.org/10.1109/bibm58861.2023.10385407","title":"Trans-UNeter: A new Decoder of TransUNet for Medical Image Segmentation","display_name":"Trans-UNeter: A new Decoder of TransUNet for Medical Image Segmentation","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971133","doi":"https://doi.org/10.1109/bibm58861.2023.10385407"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100573255","display_name":"Jiakun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiakun Yu","raw_affiliation_strings":["Huazhong Agricultural University,College of Informatics,Wuhan,China","College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University,College of Informatics,Wuhan,China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088699950","display_name":"Jianfeng Qin","orcid":"https://orcid.org/0000-0002-3594-0268"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Qin","raw_affiliation_strings":["Huazhong Agricultural University,College of Informatics,Wuhan,China","College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University,College of Informatics,Wuhan,China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064702700","display_name":"Jinhai Xiang","orcid":"https://orcid.org/0000-0002-8923-5302"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Xiang","raw_affiliation_strings":["Huazhong Agricultural University,College of Informatics,Wuhan,China","College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University,College of Informatics,Wuhan,China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635302","display_name":"Xinwei He","orcid":"https://orcid.org/0000-0001-7267-0394"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei He","raw_affiliation_strings":["Huazhong Agricultural University,College of Informatics,Wuhan,China","College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University,College of Informatics,Wuhan,China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101310798","display_name":"Wen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Huazhong Agricultural University,College of Informatics,Wuhan,China","College of Informatics, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University,College of Informatics,Wuhan,China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694248","display_name":"Weiming Zhao","orcid":"https://orcid.org/0000-0001-8977-0519"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Zhao","raw_affiliation_strings":["Lanzhou University,School of Information Science &#x0026; Engineering,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University,School of Information Science &#x0026; Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5719,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85984182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2338","last_page":"2341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9984999895095825,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8215814232826233},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7484242916107178},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6308292746543884},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5711796879768372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472755432128906},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5059449076652527},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4927807152271271},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4916022717952728},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4471903443336487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39698147773742676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19871100783348083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215814232826233},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7484242916107178},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6308292746543884},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5711796879768372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472755432128906},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5059449076652527},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4927807152271271},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4916022717952728},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4471903443336487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39698147773742676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19871100783348083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2798122215","https://openalex.org/W2804047627","https://openalex.org/W3090886579","https://openalex.org/W3094502228","https://openalex.org/W3097510987","https://openalex.org/W3127751679","https://openalex.org/W3178812510","https://openalex.org/W3212933375","https://openalex.org/W4226068227","https://openalex.org/W4297426812","https://openalex.org/W4321232185","https://openalex.org/W4385474183","https://openalex.org/W4390345094","https://openalex.org/W6750469568","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6850848131","https://openalex.org/W6855419280"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W4387678054","https://openalex.org/W2389596151","https://openalex.org/W3095575180","https://openalex.org/W4306784355","https://openalex.org/W2169308097","https://openalex.org/W3091984855","https://openalex.org/W2150768546","https://openalex.org/W2221419418"],"abstract_inverted_index":{"Recently,":[0],"how":[1],"to":[2,68,81,120,158],"integrate":[3],"convolutional":[4],"neural":[5],"networks":[6],"and":[7,55,96,117,129,161],"transformers":[8],"into":[9],"a":[10,61,85],"U-Net-like":[11],"encoder-decoder":[12],"structure":[13],"has":[14],"drawn":[15],"growing":[16],"interest":[17],"in":[18,27],"medical":[19],"image":[20],"segmentation,":[21],"as":[22],"transformer":[23],"is":[24,37],"more":[25],"efficient":[26],"capturing":[28],"longrange":[29],"relations.":[30],"Following":[31],"this":[32,73],"line":[33],"of":[34,49,135],"research,":[35],"TransUNet":[36],"one":[38],"representative":[39],"work.":[40],"However,":[41],"it":[42,98],"still":[43],"insufficiently":[44],"explores":[45],"the":[46,52,56,92,107,125,130,136,142,151],"rich":[47],"relations":[48],"features":[50,95,105,123],"from":[51,124],"encoder":[53,127],"layer":[54,58,128],"decoder":[57,112],"with":[59,99],"just":[60],"simple":[62],"concatenation,":[63],"which":[64,90],"weakens":[65],"their":[66],"effectiveness":[67],"some":[69],"extent.":[70],"To":[71],"address":[72],"issue,":[74],"we":[75],"propose":[76],"two":[77],"important":[78],"design":[79],"improvements":[80],"strengthen":[82],"TransUNet:":[83],"1)":[84],"novel":[86],"skip":[87],"connection":[88],"module,":[89],"upsamples":[91],"high-level":[93],"semantic":[94],"fuse":[97],"low-level":[100],"features,":[101],"producing":[102],"comprehensive":[103],"semantic-aware":[104],"for":[106],"decoder.":[108],"2)":[109],"an":[110],"improved":[111,150],"network":[113],"cascades":[114],"reverse":[115],"attention":[116,119],"spatial":[118],"adaptively":[121],"combines":[122],"corresponding":[126],"previously":[131],"decoded":[132],"outputs.The":[133],"results":[134],"abdominal":[137],"multi-organ":[138,144],"segmentation":[139,145],"experiment":[140],"on":[141],"Synapse":[143],"dataset":[146],"indicated":[147],"that":[148],"Trans-UNeter":[149],"mean":[152],"similarity":[153],"coefficient(DSC)":[154],"by":[155],"3.71%":[156],"compared":[157],"TransUNet.":[159],"Code":[160],"models":[162],"are":[163],"available":[164],"at":[165],"https://github.com/iaoqin/Trans-UNeter.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
