{"id":"https://openalex.org/W4416113979","doi":"https://doi.org/10.1109/access.2025.3631541","title":"RAPT: Reverse Attention With Pyramid Vision Transformer for Polyp Segmentation","display_name":"RAPT: Reverse Attention With Pyramid Vision Transformer for Polyp Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416113979","doi":"https://doi.org/10.1109/access.2025.3631541"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3631541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631541","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3631541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101185102","display_name":"Wenyi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I10496686","display_name":"Shangrao Normal University","ror":"https://ror.org/024qkwh22","country_code":"CN","type":"education","lineage":["https://openalex.org/I10496686"]},{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Wu","raw_affiliation_strings":["School of Digital Industry, Jiangxi Normal University, Shangrao, China","The School of Digital Industry, Jiangxi Normal University, Shangrao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Industry, Jiangxi Normal University, Shangrao, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"The School of Digital Industry, Jiangxi Normal University, Shangrao, China","institution_ids":["https://openalex.org/I10496686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104091563","display_name":"Keyu Yan","orcid":"https://orcid.org/0009-0001-3085-6999"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Yan","raw_affiliation_strings":["School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","The School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0001-3085-6999","affiliations":[{"raw_affiliation_string":"School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"The School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607450","display_name":"Fan Xu","orcid":"https://orcid.org/0000-0002-7477-9331"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Xu","raw_affiliation_strings":["School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","The School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-7477-9331","affiliations":[{"raw_affiliation_string":"School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"The School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053654026","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-5315-8811"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","School of Artificial Intelligence, Jiangsu Key Laboratory of Intelligent Medical Image Computing, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5315-8811","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Artificial Intelligence, Jiangsu Key Laboratory of Intelligent Medical Image Computing, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41902254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"209784","last_page":"209795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9262999892234802,"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":0.9262999892234802,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.025800000876188278,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.010200000368058681,"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/segmentation","display_name":"Segmentation","score":0.7182999849319458},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5385000109672546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5378000140190125},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.524399995803833},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4699000120162964},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42969998717308044},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4244000017642975},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8151999711990356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462000250816345},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7182999849319458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5849000215530396},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5385000109672546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378000140190125},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42969998717308044},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4244000017642975},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.313400000333786},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.28060001134872437},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.25839999318122864},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3631541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631541","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e46b3c7bec0d4f22b5bb7b55c33fcf61","is_oa":true,"landing_page_url":"https://doaj.org/article/e46b3c7bec0d4f22b5bb7b55c33fcf61","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 13, Pp 209784-209795 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3631541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631541","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2190220474","display_name":null,"funder_award_id":"62562037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2855840885","display_name":null,"funder_award_id":"62171230","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G540916405","display_name":"\u57fa\u4e8e\u9886\u57df\u81ea\u9002\u5e94\u7684\u8de8\u9886\u57df\u5fae\u8868\u60c5\u8bc6\u522b\u7814\u7a76","funder_award_id":"62066020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G64983649","display_name":null,"funder_award_id":"82441029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Colorectal":[0],"cancer":[1],"(CRC)":[2],"accounts":[3],"for":[4,68,153],"approximately":[5],"9.4%":[6],"of":[7,15,38,130,143],"global":[8],"cancer-related":[9],"deaths,":[10],"underscoring":[11],"the":[12,35,53,119,133],"vital":[13],"role":[14],"early":[16],"detection":[17],"and":[18,42,80,93,109],"polyp":[19,29,73,102],"removal":[20],"via":[21,84],"colonoscopy":[22,148],"to":[23,34,88],"reduce":[24],"mortality.":[25],"However,":[26],"achieving":[27],"high-precision":[28],"segmentation":[30,91,103],"is":[31,159],"challenging":[32],"due":[33],"morphological":[36],"diversity":[37],"polyps,":[39],"boundary":[40],"ambiguity,":[41],"artifacts":[43],"in":[44,145],"endoscopic":[45],"imaging.":[46],"To":[47],"address":[48],"these":[49],"challenges,":[50],"we":[51],"propose":[52],"Reverse":[54],"Attention":[55],"Pyramid":[56],"Transformer":[57],"(RAPT),":[58],"a":[59,65,76,124],"novel":[60],"network":[61],"architecture":[62],"that":[63,112],"leverages":[64],"pyramid":[66],"transformer":[67],"multi-scale":[69],"feature":[70,82],"extraction,":[71],"refines":[72],"boundaries":[74],"through":[75],"reverse":[77],"attention":[78],"mechanism,":[79],"enhances":[81],"representation":[83],"global-local":[85],"context":[86],"fusion":[87],"jointly":[89],"optimize":[90],"performance":[92],"minimize":[94],"false":[95],"positives.":[96],"Extensive":[97],"evaluations":[98],"on":[99,118],"five":[100],"public":[101],"datasets":[104],"(Kvasir,":[105],"CVC-ClinicDB,":[106],"ETIS,":[107],"CVC-ColonDB,":[108],"CVC-300)":[110],"demonstrate":[111],"RAPT":[113,144],"achieves":[114,123],"state-of-the-art":[115],"performance.":[116],"Notably,":[117],"ETIS":[120],"dataset,":[121],"it":[122],"mean":[125],"Intersection":[126],"over":[127],"Union":[128],"(mIoU)":[129],"76.8%,":[131],"exceeding":[132],"previous":[134],"best":[135],"result":[136],"by":[137],"2.2":[138],"percentage":[139],"points.":[140],"The":[141,157],"robustness":[142],"handling":[146],"complex":[147],"images":[149],"highlights":[150],"its":[151],"potential":[152],"real-world":[154],"clinical":[155],"applications.":[156],"code":[158],"available":[160],"at":[161],"GitHub.":[162]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}
