{"id":"https://openalex.org/W4309675391","doi":"https://doi.org/10.1109/kse56063.2022.9953785","title":"Online pseudo labeling for polyp segmentation with momentum networks","display_name":"Online pseudo labeling for polyp segmentation with momentum networks","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4309675391","doi":"https://doi.org/10.1109/kse56063.2022.9953785"},"language":"en","primary_location":{"id":"doi:10.1109/kse56063.2022.9953785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse56063.2022.9953785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Knowledge and Systems Engineering (KSE)","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/A5045407393","display_name":"To\u00e0n Ph\u1ea1m V\u0103n","orcid":null},"institutions":[{"id":"https://openalex.org/I111368775","display_name":"ASTER","ror":"https://ror.org/0504r6d12","country_code":"CA","type":"facility","lineage":["https://openalex.org/I111368775"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Toan Pham Van","raw_affiliation_strings":["Sun Asterisk R&#x0026;D Unit"],"affiliations":[{"raw_affiliation_string":"Sun Asterisk R&#x0026;D Unit","institution_ids":["https://openalex.org/I111368775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064509843","display_name":"Linh Bao Doan","orcid":"https://orcid.org/0000-0001-8579-9808"},"institutions":[{"id":"https://openalex.org/I111368775","display_name":"ASTER","ror":"https://ror.org/0504r6d12","country_code":"CA","type":"facility","lineage":["https://openalex.org/I111368775"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Linh Bao Doan","raw_affiliation_strings":["Sun Asterisk R&#x0026;D Unit"],"affiliations":[{"raw_affiliation_string":"Sun Asterisk R&#x0026;D Unit","institution_ids":["https://openalex.org/I111368775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009640547","display_name":"Thanh Tung Nguyen","orcid":"https://orcid.org/0000-0002-0131-4146"},"institutions":[{"id":"https://openalex.org/I111368775","display_name":"ASTER","ror":"https://ror.org/0504r6d12","country_code":"CA","type":"facility","lineage":["https://openalex.org/I111368775"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thanh Tung Nguyen","raw_affiliation_strings":["Sun Asterisk R&#x0026;D Unit"],"affiliations":[{"raw_affiliation_string":"Sun Asterisk R&#x0026;D Unit","institution_ids":["https://openalex.org/I111368775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058037820","display_name":"Duc Trung Tran","orcid":"https://orcid.org/0000-0001-6930-7228"},"institutions":[{"id":"https://openalex.org/I111368775","display_name":"ASTER","ror":"https://ror.org/0504r6d12","country_code":"CA","type":"facility","lineage":["https://openalex.org/I111368775"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Duc Trung Tran","raw_affiliation_strings":["Sun Asterisk R&#x0026;D Unit"],"affiliations":[{"raw_affiliation_string":"Sun Asterisk R&#x0026;D Unit","institution_ids":["https://openalex.org/I111368775"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quan Van Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I111368775","display_name":"ASTER","ror":"https://ror.org/0504r6d12","country_code":"CA","type":"facility","lineage":["https://openalex.org/I111368775"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Quan Van Nguyen","raw_affiliation_strings":["Sun Asterisk R&#x0026;D Unit"],"affiliations":[{"raw_affiliation_string":"Sun Asterisk R&#x0026;D Unit","institution_ids":["https://openalex.org/I111368775"]}]},{"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":"Dinh Viet Sang","raw_affiliation_strings":["Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045407393"],"corresponding_institution_ids":["https://openalex.org/I111368775"],"apc_list":null,"apc_paid":null,"fwci":0.5776,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6628358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996399998664856,"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":0.9962000250816345,"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":0.7798776626586914},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6900222301483154},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6358921527862549},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6012063026428223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5987393260002136},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46416810154914856},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4398624897003174},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4361421465873718},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41782256960868835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1742188036441803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798776626586914},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6900222301483154},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6358921527862549},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6012063026428223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5987393260002136},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46416810154914856},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4398624897003174},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4361421465873718},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41782256960868835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1742188036441803},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse56063.2022.9953785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse56063.2022.9953785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Knowledge and Systems Engineering (KSE)","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":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2979515228","https://openalex.org/W2979805229","https://openalex.org/W2985406498","https://openalex.org/W2996290406","https://openalex.org/W3001197829","https://openalex.org/W3035294798","https://openalex.org/W3092344722","https://openalex.org/W3100859887","https://openalex.org/W3175308890","https://openalex.org/W3183021106","https://openalex.org/W3202263958","https://openalex.org/W3203497085","https://openalex.org/W3204166336","https://openalex.org/W4226329133","https://openalex.org/W6639824700","https://openalex.org/W6773005947","https://openalex.org/W6779977557"],"related_works":["https://openalex.org/W2582295320","https://openalex.org/W2174759944","https://openalex.org/W2060809589","https://openalex.org/W3109786615","https://openalex.org/W2113492357","https://openalex.org/W4285328440","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4399290976","https://openalex.org/W4313644201"],"abstract_inverted_index":{"emantic":[0],"segmentation":[1],"is":[2,18,115,133],"an":[3,14,185],"essential":[4],"task":[5],"in":[6,25,39],"developing":[7],"medical":[8,16],"image":[9],"diagnosis":[10],"systems.":[11],"However,":[12],"building":[13],"annotated":[15],"dataset":[17,78,206],"expensive.":[19],"Thus,":[20],"semi-supervised":[21,29,67],"methods":[22,114],"are":[23,231],"significant":[24],"this":[26,42],"circumstance.":[27],"In":[28,41],"learning,":[30],"the":[31,53,65,82,95,119,123,128,136,150,165,172,205],"quality":[32,54,129,151],"of":[33,55,130,152,164,187,204],"labels":[34,57,88,97,132,154,179],"plays":[35],"a":[36,46,72,76,143,156,160],"crucial":[37],"role":[38],"modelperformance.":[40],"work,":[43],"we":[44,117,183],"present":[45],"new":[47],"pseudo":[48,56,87,96,131,153,178],"labeling":[49],"strategy":[50,147],"that":[51,116],"enhances":[52],"used":[58,207],"for":[59,89],"training":[60,68,105,125,138],"student":[61,90,124,137,181],"networks.":[62],"We":[63,140],"follow":[64],"multi-stage":[66],"approach,":[69],"which":[70],"trains":[71],"teacher":[73,84,120],"model":[74,121,158,167,174],"on":[75,191,223],"labeled":[77,209],"and":[79,101,112,199,218,228],"then":[80],"uses":[81],"trained":[83],"to":[85,148],"render":[86],"training.":[91,169],"By":[92,170],"doing":[93],"so,":[94],"will":[98],"be":[99],"updated":[100],"more":[102],"precise":[103],"as":[104,208],"progress.":[106],"The":[107],"key":[108],"difference":[109],"between":[110],"previous":[111],"our":[113],"update":[118],"during":[122,135,168,180],"process.":[126,139],"So":[127],"improved":[134],"also":[141],"propose":[142],"simple":[144],"but":[145],"effective":[146],"enhance":[149],"using":[155],"momentum":[157,173],"-":[159],"slow":[161],"copy":[162],"version":[163],"original":[166],"applying":[171],"combined":[175],"with":[176,201],"re-rendering":[177],"training,":[182],"achieved":[184],"average":[186],"84.1%":[188],"Dice":[189],"Score":[190],"five":[192],"datasets":[193],"(i.e.,":[194],"Kvarsir,":[195],"CVC-ClinicDB,":[196],"ETIS-LaribPolypDB,":[197],"CVC-ColonDB,":[198],"CVC-300)":[200],"only":[202],"20%":[203],"data.":[210],"Our":[211],"results":[212,222],"surpass":[213],"common":[214],"practice":[215],"by":[216],"3%":[217],"even":[219],"approach":[220],"fully-supervised":[221],"some":[224],"datasets.":[225],"Oursource":[226],"code":[227],"pre-trained":[229],"models":[230],"available":[232],"at":[233],"https://github.com/sun-asterisk-research/online_learning_ssl":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
