{"id":"https://openalex.org/W4312568229","doi":"https://doi.org/10.1109/tmi.2022.3230943","title":"MISSFormer: An Effective Transformer for 2D Medical Image Segmentation","display_name":"MISSFormer: An Effective Transformer for 2D Medical Image Segmentation","publication_year":2022,"publication_date":"2022-12-20","ids":{"openalex":"https://openalex.org/W4312568229","doi":"https://doi.org/10.1109/tmi.2022.3230943","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015444"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3230943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3230943","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5078113299","display_name":"Xiaohong Huang","orcid":"https://orcid.org/0000-0002-7275-2274"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Huang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7275-2274","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhifang Deng","orcid":"https://orcid.org/0000-0003-3745-2433"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Deng","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3745-2433","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439910","display_name":"Dandan Li","orcid":"https://orcid.org/0000-0003-2779-240X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Li","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2779-240X","affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009155711","display_name":"Xueguang Yuan","orcid":"https://orcid.org/0000-0002-7277-7092"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueguang Yuan","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7277-7092","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027065137","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0003-4292-962X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fu","raw_affiliation_strings":["Department of Ultrasound, Peking University Third Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4292-962X","affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Peking University Third Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":34.4079,"has_fulltext":false,"cited_by_count":545,"citation_normalized_percentile":{"value":0.9987812,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"42","issue":"5","first_page":"1484","last_page":"1494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.7738355398178101},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.722511887550354},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6803690195083618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641503095626831},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5506236553192139},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5373361110687256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4419427812099457},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.44113031029701233},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41437041759490967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37908855080604553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08328714966773987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738355398178101},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.722511887550354},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6803690195083618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641503095626831},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5506236553192139},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5373361110687256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4419427812099457},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.44113031029701233},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41437041759490967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37908855080604553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08328714966773987},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3230943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3230943","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37015444","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015444","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2109037308","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2527341761","https://openalex.org/W2560023338","https://openalex.org/W2752782242","https://openalex.org/W2760122612","https://openalex.org/W2884436604","https://openalex.org/W2884555738","https://openalex.org/W2921406441","https://openalex.org/W2980185997","https://openalex.org/W2980190282","https://openalex.org/W3013198566","https://openalex.org/W3014974815","https://openalex.org/W3015788359","https://openalex.org/W3017153481","https://openalex.org/W3092344722","https://openalex.org/W3096609285","https://openalex.org/W3112701542","https://openalex.org/W3116570699","https://openalex.org/W3127751679","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3156811085","https://openalex.org/W3157528469","https://openalex.org/W3160284783","https://openalex.org/W3170841864","https://openalex.org/W3170874841","https://openalex.org/W3203841574","https://openalex.org/W3204255739","https://openalex.org/W3211490618","https://openalex.org/W4212875960","https://openalex.org/W4214588794","https://openalex.org/W4294226146","https://openalex.org/W4297779827","https://openalex.org/W4312812783","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6748775820","https://openalex.org/W6753182481","https://openalex.org/W6771497439","https://openalex.org/W6788135285","https://openalex.org/W6790275670","https://openalex.org/W6791637211","https://openalex.org/W6792695861","https://openalex.org/W6794345597","https://openalex.org/W6794906783","https://openalex.org/W6795435739","https://openalex.org/W6796298902","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Transformer-based":[0],"methods":[1,168],"are":[2],"recently":[3],"popular":[4],"in":[5,63,110,132],"vision":[6],"tasks":[7,146],"because":[8],"of":[9,22,28,35,66,104,153,160],"their":[10],"capability":[11],"to":[12,25,100,125,179],"model":[13],"global":[14,75,90,105],"dependencies":[15,76,106,129],"alone.":[16],"However,":[17],"it":[18],"limits":[19],"the":[20,26,86,102,148,157,173],"performance":[21],"networks":[23],"due":[24],"lack":[27],"modeling":[29],"local":[30,78,87,108],"context":[31,79,88,109,131],"and":[32,77,89,107,130,142,151,172],"global-local":[33],"correlations":[34,103],"multi-scale":[36,111],"features.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"present":[42],"MISSFormer,":[43],"a":[44,51,60,93,122],"Medical":[45],"Image":[46],"Segmentation":[47],"tranSFormer.":[48],"MISSFormer":[49,120,161],"is":[50,70,98],"hierarchical":[52,116],"encoder-decoder":[53,68],"network":[54,62],"with":[55],"two":[56],"appealing":[57],"designs:":[58],"1)":[59],"feed-forward":[61],"transformer":[64,117],"block":[65],"U-shaped":[67],"structure":[69],"redesigned,":[71],"ReMix-FFN,":[72],"which":[73],"explore":[74],"for":[80],"better":[81],"feature":[82],"discrimination":[83],"by":[84,114],"re-integrating":[85],"dependencies;":[91],"2)":[92],"ReMixed":[94],"Transformer":[95],"Context":[96],"Bridge":[97],"proposed":[99],"extract":[101],"features":[112],"generated":[113],"our":[115,154],"encoder.":[118],"The":[119,136,184],"shows":[121],"solid":[123],"capacity":[124],"capture":[126],"more":[127],"discriminative":[128],"medical":[133],"image":[134],"segmentation.":[135],"experiments":[137],"on":[138,170,189],"multi-organ,":[139],"cardiac":[140],"segmentation":[141,145,182],"retinal":[143],"vessel":[144],"demonstrate":[147],"superiority,":[149],"effectiveness":[150],"robustness":[152],"MISSFormer.":[155],"Specifically,":[156],"experimental":[158],"results":[159],"trained":[162],"from":[163],"scratch":[164],"even":[165],"outperform":[166],"state-of-the-art":[167],"pre-trained":[169],"ImageNet,":[171],"core":[174],"designs":[175],"can":[176],"be":[177],"generalized":[178],"other":[180],"visual":[181],"tasks.":[183],"code":[185],"has":[186],"been":[187],"released":[188],"Github:":[190],"https://github.com/ZhifangDeng/MISSFormer.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":120},{"year":2025,"cited_by_count":227},{"year":2024,"cited_by_count":153},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}