{"id":"https://openalex.org/W4390493617","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373226","title":"MTC-TransUNet: A Multi-Scale Mixed Convolution TransUNet for Medical Image Segmentation","display_name":"MTC-TransUNet: A Multi-Scale Mixed Convolution TransUNet for Medical Image Segmentation","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4390493617","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373226"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei60920.2023.10373226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei60920.2023.10373226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100351820","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-0949-2449"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109084755","display_name":"Zenghui Yang","orcid":"https://orcid.org/0009-0009-8924-8312"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghui Yang","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026939095","display_name":"Mingye Ju","orcid":"https://orcid.org/0000-0003-4378-3781"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingye Ju","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449218","display_name":"Haoran Liu","orcid":"https://orcid.org/0000-0001-6829-2650"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Liu","raw_affiliation_strings":["School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Internet of Things Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9921000003814697,"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":0.9908999800682068,"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":0.7898877859115601},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6744105815887451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504069566726685},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6089485883712769},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5588807463645935},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.526633083820343},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5131338238716125},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.511473536491394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4540407061576843},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4284118115901947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41090771555900574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1317824423313141},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0762140154838562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898877859115601},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6744105815887451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504069566726685},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6089485883712769},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5588807463645935},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.526633083820343},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5131338238716125},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.511473536491394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4540407061576843},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4284118115901947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41090771555900574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1317824423313141},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0762140154838562},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei60920.2023.10373226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei60920.2023.10373226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1947481528","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2592929672","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2905338897","https://openalex.org/W2907750714","https://openalex.org/W2910094941","https://openalex.org/W2963091558","https://openalex.org/W2963623257","https://openalex.org/W2963840672","https://openalex.org/W3034502973","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3203841574","https://openalex.org/W3211490618","https://openalex.org/W4214588794","https://openalex.org/W4321232185","https://openalex.org/W4379087043","https://openalex.org/W4385245566","https://openalex.org/W4390345094","https://openalex.org/W6696085341","https://openalex.org/W6739901393","https://openalex.org/W6750469568","https://openalex.org/W6753441378","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6797399245","https://openalex.org/W6853023569"],"related_works":["https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4205302943","https://openalex.org/W2119949815","https://openalex.org/W2561132942","https://openalex.org/W2142795561","https://openalex.org/W3155418658","https://openalex.org/W2379948177","https://openalex.org/W2107949441","https://openalex.org/W2334580170"],"abstract_inverted_index":{"Medical":[0],"image":[1,59],"segmentation":[2,46,60],"is":[3,41,76],"an":[4,69],"important":[5],"means":[6],"to":[7,20,102,139],"assist":[8],"doctors":[9],"in":[10,45,135],"making":[11],"accurate":[12],"diagnoses.":[13],"However,":[14],"medical":[15],"images":[16],"are":[17],"often":[18],"subject":[19],"noise":[21],"interference,":[22],"and":[23,30,71,85,89,99],"the":[24,28,35,90,124,132,136,145],"high":[25],"similarity":[26],"between":[27],"background":[29],"target":[31],"areas":[32],"also":[33],"increases":[34],"difficulty":[36],"of":[37,65,81,97],"segmentation,":[38],"hence":[39],"there":[40],"room":[42],"for":[43,131],"improvement":[44],"accuracy.":[47],"To":[48],"address":[49],"these":[50],"challenges,":[51],"this":[52],"paper":[53],"proposes":[54],"a":[55,72,79,95,110],"multi-scale":[56,86,111],"mixed":[57,82,91],"convolutional":[58,83,92],"network.":[61],"The":[62,74],"network":[63],"consists":[64],"two":[66],"main":[67],"parts:":[68],"encoder":[70,75],"decoder.":[73],"formed":[77],"by":[78],"combination":[80],"module":[84,93,113],"Transformer":[87,112],"module,":[88],"uses":[94],"blend":[96],"2D":[98],"3D":[100],"convolutions":[101],"enhance":[103],"feature":[104],"extraction":[105],"capabilities.":[106,149],"Additionally,":[107],"we":[108,127],"designed":[109],"aimed":[114],"at":[115,120],"capturing":[116],"long-range":[117],"correlation":[118],"information":[119],"multiple":[121,154],"scales.":[122],"In":[123,150],"decoding":[125],"phase,":[126],"introduce":[128],"coordinate":[129],"convolution":[130],"first":[133],"time":[134],"U-Net":[137],"architecture":[138],"replace":[140],"traditional":[141],"convolution,":[142],"thereby":[143],"enhancing":[144],"model's":[146],"spatial":[147],"localization":[148],"experimental":[151],"validations":[152],"on":[153],"public":[155],"datasets,":[156],"MTC-TransUNet":[157],"outperforms":[158],"other":[159],"networks.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
