{"id":"https://openalex.org/W4390693714","doi":"https://doi.org/10.1109/iccais59597.2023.10382399","title":"ConvmixFormer-Unet: A New Approach for Medical Image Segmentation based on Convmixer and Transformer","display_name":"ConvmixFormer-Unet: A New Approach for Medical Image Segmentation based on Convmixer and Transformer","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4390693714","doi":"https://doi.org/10.1109/iccais59597.2023.10382399"},"language":"en","primary_location":{"id":"doi:10.1109/iccais59597.2023.10382399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais59597.2023.10382399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5103235650","display_name":"Van-Quang Nguyen","orcid":"https://orcid.org/0009-0007-1831-5763"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Van-Quang Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101437462","display_name":"Quang-Huy Nguyen","orcid":"https://orcid.org/0000-0002-7587-236X"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quang-Huy Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019897482","display_name":"Thi-Thao Tran","orcid":"https://orcid.org/0009-0008-0862-1262"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Thao Tran","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103235650"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.669967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"662","last_page":"667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987000226974487,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9983000159263611,"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/transpose","display_name":"Transpose","score":0.8203163146972656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752498984336853},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6097633838653564},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5554964542388916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5515452027320862},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.5168524384498596},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5162779688835144},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45138412714004517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4460255205631256},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43875232338905334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33977028727531433},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17204153537750244},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13036927580833435},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08945298194885254}],"concepts":[{"id":"https://openalex.org/C200106649","wikidata":"https://www.wikidata.org/wiki/Q223683","display_name":"Transpose","level":3,"score":0.8203163146972656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752498984336853},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6097633838653564},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5554964542388916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5515452027320862},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5168524384498596},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5162779688835144},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45138412714004517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4460255205631256},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43875232338905334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33977028727531433},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17204153537750244},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13036927580833435},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08945298194885254},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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/iccais59597.2023.10382399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais59597.2023.10382399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2464708700","https://openalex.org/W2742087205","https://openalex.org/W2752782242","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W2932083555","https://openalex.org/W2964150021","https://openalex.org/W3017482598","https://openalex.org/W3081752372","https://openalex.org/W3092622437","https://openalex.org/W3094502228","https://openalex.org/W3097065222","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3153359550","https://openalex.org/W3157506437","https://openalex.org/W3186979696","https://openalex.org/W3203480968","https://openalex.org/W4226297238","https://openalex.org/W4226363321","https://openalex.org/W4285661751","https://openalex.org/W4292002664","https://openalex.org/W4312820606","https://openalex.org/W4321232185","https://openalex.org/W4385232672","https://openalex.org/W4386352888","https://openalex.org/W6761152059","https://openalex.org/W6776143755","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6795140394","https://openalex.org/W6799423381","https://openalex.org/W6811014117"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"The":[0,130,173],"research":[1],"community":[2],"has":[3],"shown":[4],"a":[5,79,95,120,181],"great":[6],"interest":[7],"in":[8,104,137,184],"transformer-based":[9],"structures":[10],"because":[11],"of":[12,90,145,192],"their":[13],"capacity":[14],"to":[15,41],"understand":[16],"contextual":[17],"data":[18],"and":[19,47,50,94,160],"dependencies":[20],"over":[21,60],"long":[22],"distances,":[23],"even":[24],"though":[25],"they":[26],"demand":[27],"substantial":[28],"computational":[29],"resources.":[30],"To":[31],"overcome":[32],"this":[33],"challenge,":[34],"the":[35,51,61,74,88,91,101,105,109,116,127,138,143,169,189],"MLP-mixer":[36],"approach":[37,56,167],"offers":[38],"an":[39],"alternative":[40],"attention":[42],"token-mix":[43,117,123],"by":[44,114,149],"employing":[45,150],"MLP":[46],"transpose":[48],"operations":[49],"results":[52],"are":[53,134],"promising.":[54],"This":[55],"also":[57,135],"showed":[58],"advantages":[59],"CNN-based":[62,96],"models":[63],"that":[64,176],"utilize":[65],"local":[66],"information":[67],"but":[68],"often":[69],"neglect":[70],"global":[71],"contexts.":[72],"In":[73],"current":[75],"study,":[76],"we":[77,164],"introduce":[78],"novel":[80],"segmentation":[81],"model":[82,99,179,193],"called":[83],"ConvmixFormer":[84,102],"Unet,":[85],"which":[86],"leverages":[87],"strengths":[89],"Former":[92,110],"structure":[93,111],"network.":[97],"Our":[98],"incorporates":[100],"block":[103,124],"encoder":[106],"stage,":[107],"where":[108],"is":[112],"utilized":[113],"substituting":[115],"layer":[118],"with":[119],"Multi-scale":[121],"ConvMixer":[122],"while":[125,186],"retaining":[126],"channel-mix":[128],"layer.":[129],"Convmix":[131],"Transpose":[132],"blocks":[133],"proposed":[136,147,178],"decoder":[139],"stage.":[140],"We":[141],"assess":[142],"effectiveness":[144],"our":[146,166,177],"method":[148],"three":[151],"distinct":[152],"datasets,":[153],"namely":[154],"GlaS,":[155],"Data":[156],"Science":[157],"Bowl":[158],"2018,":[159],"ISIC":[161],"2018.":[162],"Additionally,":[163],"evaluate":[165],"against":[168],"most":[170],"advanced":[171],"models.":[172],"findings":[174],"demonstrate":[175],"achieves":[180],"significant":[182],"improvement":[183],"performance":[185],"reducing":[187],"remarkably":[188],"overall":[190],"number":[191],"parameters.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
