{"id":"https://openalex.org/W4289822973","doi":"https://doi.org/10.1109/access.2022.3195241","title":"ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation","display_name":"ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289822973","doi":"https://doi.org/10.1109/access.2022.3195241"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3195241","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3195241","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09845389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09845389.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065893759","display_name":"Nguyen Thanh Duc","orcid":"https://orcid.org/0000-0002-1528-1162"},"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":"Nguyen Thanh Duc","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107427910","display_name":"Thi-Oanh Nguyen","orcid":"https://orcid.org/0000-0002-6166-2011"},"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":"Nguyen Thi Oanh","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-6166-2011","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058684461","display_name":"Nguy\u1ec5n Th\u1ecb Thanh Th\u1ee7y","orcid":"https://orcid.org/0000-0002-9358-6201"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Thi Thuy","raw_affiliation_strings":["Faculty of Information Technology and Software Engineering Laboratory, University of Science, VNU-HCM, Ho Chi Minh, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-9358-6201","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Software Engineering Laboratory, University of Science, VNU-HCM, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053495766","display_name":"Minh\u2013Triet Tran","orcid":"https://orcid.org/0000-0003-3046-3041"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Minh Triet","raw_affiliation_strings":["University of Science, VNU-HCM, Ho Chi Minh, Vietnam","Viet Nam National University Ho Chi Minh City, Ho Chi Minh, Vietnam"],"raw_orcid":"https://orcid.org/0000-0003-3046-3041","affiliations":[{"raw_affiliation_string":"University of Science, VNU-HCM, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"raw_affiliation_string":"Viet Nam National University Ho Chi Minh City, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025948040","display_name":"Dinh Viet Sang","orcid":"https://orcid.org/0000-0002-9254-1327"},"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":"Viet Sang Dinh","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-9254-1327","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, 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":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":17.7526,"has_fulltext":true,"cited_by_count":221,"citation_normalized_percentile":{"value":0.99528196,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"80575","last_page":"80586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9872999787330627,"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":0.9785000085830688,"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":0.8349758386611938},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7571721076965332},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6502601504325867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6076749563217163},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5736833214759827},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5305065512657166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5084830522537231},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5053568482398987},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4726371169090271},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46829548478126526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42638644576072693},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4256301820278168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3643099069595337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1088322103023529}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349758386611938},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7571721076965332},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6502601504325867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6076749563217163},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5736833214759827},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5305065512657166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5084830522537231},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5053568482398987},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4726371169090271},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46829548478126526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42638644576072693},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4256301820278168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3643099069595337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1088322103023529},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3195241","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3195241","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09845389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bcfc0be113934763b1117262d46e9b57","is_oa":true,"landing_page_url":"https://doaj.org/article/bcfc0be113934763b1117262d46e9b57","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 80575-80586 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3195241","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3195241","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09845389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4439033256","display_name":null,"funder_award_id":"VINIF.2020.DA17","funder_id":"https://openalex.org/F4320328994","funder_display_name":"Qu\u1ef9 \u0110\u1ed5i m\u1edbi s\u00e1ng t\u1ea1o Vingroup"}],"funders":[{"id":"https://openalex.org/F4320318839","display_name":"T\u1eadp \u0111o\u00e0n Vingroup - C\u00f4ng ty CP","ror":null},{"id":"https://openalex.org/F4320328994","display_name":"Qu\u1ef9 \u0110\u1ed5i m\u1edbi s\u00e1ng t\u1ea1o Vingroup","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289822973.pdf","grobid_xml":"https://content.openalex.org/works/W4289822973.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2111147183","https://openalex.org/W2194775991","https://openalex.org/W2285968993","https://openalex.org/W2320150036","https://openalex.org/W2332757643","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2560328367","https://openalex.org/W2586952804","https://openalex.org/W2752782242","https://openalex.org/W2762406675","https://openalex.org/W2884436604","https://openalex.org/W2884555738","https://openalex.org/W2884822772","https://openalex.org/W2888358068","https://openalex.org/W2909293781","https://openalex.org/W2928133111","https://openalex.org/W2944135625","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963649926","https://openalex.org/W2979515228","https://openalex.org/W2997286550","https://openalex.org/W2998108143","https://openalex.org/W2998449272","https://openalex.org/W2999580839","https://openalex.org/W3081752372","https://openalex.org/W3092344722","https://openalex.org/W3098995103","https://openalex.org/W3104061658","https://openalex.org/W3124994365","https://openalex.org/W3127751679","https://openalex.org/W3131500599","https://openalex.org/W3134036841","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3183021106","https://openalex.org/W3194686611","https://openalex.org/W3196075503","https://openalex.org/W3204166336","https://openalex.org/W4206394511","https://openalex.org/W4214520160","https://openalex.org/W4226329133","https://openalex.org/W4230531790","https://openalex.org/W4287186610","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6772853553","https://openalex.org/W6788135285","https://openalex.org/W6789459963","https://openalex.org/W6790275670","https://openalex.org/W6794328193","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W2017509870","https://openalex.org/W4220731478"],"abstract_inverted_index":{"Identifying":[0],"polyps":[1,30,47],"is":[2,75,93,110,128],"challenging":[3],"for":[4,55,100,116,147,160],"automatic":[5],"analysis":[6],"of":[7,45,51,80,140],"endoscopic":[8],"images":[9],"in":[10,40,58,143],"computer-aided":[11],"clinical":[12],"support":[13],"systems.":[14],"Models":[15],"based":[16,97],"on":[17,98,155,181],"convolutional":[18],"networks":[19],"(CNN),":[20],"transformers,":[21],"and":[22,88,169],"their":[23],"combinations":[24],"have":[25,37,152],"been":[26,153],"proposed":[27],"to":[28,70,120,136],"segment":[29],"with":[31,130],"promising":[32],"results.":[33],"However,":[34],"those":[35],"approaches":[36],"limitations":[38],"either":[39],"modeling":[41,81,101],"the":[42,46,59,138,144],"local":[43],"appearance":[44],"only":[48],"or":[49],"lack":[50],"multi-level":[52,118],"feature":[53,122],"representation":[54],"spatial":[56],"dependency":[57],"decoding":[60],"process.":[61],"This":[62],"paper":[63],"proposes":[64],"a":[65,94,111,125,131],"novel":[66],"network,":[67],"namely":[68],"ColonFormer,":[69],"address":[71],"these":[72],"limitations.":[73],"ColonFormer":[74,176],"an":[76],"encoder-decoder":[77],"architecture":[78,96],"capable":[79],"long-range":[82],"semantic":[83,103],"information":[84],"at":[85,105],"both":[86],"encoder":[87,92],"decoder":[89,109],"branches.":[90],"The":[91,108],"lightweight":[95],"transformers":[99],"global":[102,145],"relations":[104],"multi":[106],"scales.":[107],"hierarchical":[112],"network":[113],"structure":[114],"designed":[115],"learning":[117],"features":[119],"enrich":[121],"representation.":[123],"Besides,":[124],"refinement":[126],"module":[127],"added":[129],"new":[132],"skip":[133],"connection":[134],"technique":[135],"refine":[137],"boundary":[139],"polyp":[141,161],"objects":[142],"map":[146],"accurate":[148],"segmentation.":[149],"Extensive":[150],"experiments":[151],"conducted":[154],"five":[156],"popular":[157],"benchmark":[158,183],"datasets":[159],"segmentation,":[162],"including":[163],"Kvasir,":[164],"CVC-Clinic":[165],"DB,":[166],"CVC-ColonDB,":[167],"CVC-T,":[168],"ETIS-Larib.":[170],"Experimental":[171],"results":[172],"show":[173],"that":[174],"our":[175],"outperforms":[177],"other":[178],"state-of-the-art":[179],"methods":[180],"all":[182],"datasets.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":30},{"year":2025,"cited_by_count":74},{"year":2024,"cited_by_count":67},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
