{"id":"https://openalex.org/W3095235423","doi":"https://doi.org/10.1109/mapr49794.2020.9237761","title":"Cleaning assessment in endoscopic esophageal images using U-Net and a classification model","display_name":"Cleaning assessment in endoscopic esophageal images using U-Net and a classification model","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3095235423","doi":"https://doi.org/10.1109/mapr49794.2020.9237761","mag":"3095235423"},"language":"en","primary_location":{"id":"doi:10.1109/mapr49794.2020.9237761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr49794.2020.9237761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","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/A5008192331","display_name":"Van Kien Ha","orcid":null},"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 Kien Ha","raw_affiliation_strings":["International Research Institute MICA, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"International Research Institute MICA, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061199371","display_name":"Xuan Huy Manh","orcid":null},"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":"Xuan Huy Manh","raw_affiliation_strings":["International Research Institute MICA, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"International Research Institute MICA, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Viet Hang Dao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viet Hang Dao","raw_affiliation_strings":["Internal Medicine Faculty, Hanoi Medicine University"],"affiliations":[{"raw_affiliation_string":"Internal Medicine Faculty, Hanoi Medicine University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Phuc Binh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154795","display_name":"Hanoi Medical University Hospital","ror":"https://ror.org/054jdkk48","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210154795"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuc Binh Nguyen","raw_affiliation_strings":["Inst. of Gastroenterology and Hepatology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Inst. of Gastroenterology and Hepatology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210154795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022998182","display_name":"Bao Long Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154795","display_name":"Hanoi Medical University Hospital","ror":"https://ror.org/054jdkk48","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210154795"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Bao Long Hoang","raw_affiliation_strings":["Inst. of Gastroenterology and Hepatology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Inst. of Gastroenterology and Hepatology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210154795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007554071","display_name":"Hai Vu","orcid":"https://orcid.org/0000-0003-2880-4417"},"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":"Hai Vu","raw_affiliation_strings":["International Research Institute MICA, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"International Research Institute MICA, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008192331"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16911301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9947999715805054,"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":0.9947999715805054,"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/T10619","display_name":"Esophageal Cancer Research and Treatment","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10696","display_name":"Gastric Cancer Management and Outcomes","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.698883056640625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682361900806427},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5756015181541443},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5740909576416016},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5704575181007385},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5699800252914429},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4940112233161926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4598901867866516},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.42594775557518005},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4231882095336914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4106708765029907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34399741888046265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3110913634300232},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15073123574256897},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13617318868637085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11245182156562805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10595214366912842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698883056640625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682361900806427},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5756015181541443},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5740909576416016},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5704575181007385},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5699800252914429},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4940112233161926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4598901867866516},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.42594775557518005},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4231882095336914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4106708765029907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34399741888046265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3110913634300232},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15073123574256897},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13617318868637085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11245182156562805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10595214366912842},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mapr49794.2020.9237761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr49794.2020.9237761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","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":14,"referenced_works":["https://openalex.org/W1799274322","https://openalex.org/W1901129140","https://openalex.org/W2057440604","https://openalex.org/W2339886540","https://openalex.org/W2552683784","https://openalex.org/W2765095566","https://openalex.org/W2782151450","https://openalex.org/W2783201053","https://openalex.org/W2802572938","https://openalex.org/W2809105978","https://openalex.org/W2911964244","https://openalex.org/W2963495562","https://openalex.org/W2995392092","https://openalex.org/W6729307795"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W4249377076","https://openalex.org/W2949601986","https://openalex.org/W4210389441","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2912321008","https://openalex.org/W2395241803","https://openalex.org/W1998607122"],"abstract_inverted_index":{"The":[0,106,135],"presence":[1],"of":[2,71,79,101,122,149,160,173],"water":[3,72,124],"bubbles,":[4,125],"foam,":[5],"mucus":[6],"or":[7,129],"residual":[8],"food":[9],"in":[10,131],"the":[11,47,76,88,98,102,115,120,123,132,146,150,154,158,163],"gastrointestinal":[12,20],"tract":[13],"is":[14,54,138],"a":[15,56,80,93,141,167],"common":[16],"problem":[17],"during":[18],"Upper":[19],"endoscopy":[21],"(UGIE).":[22],"This":[23],"condition":[24],"could":[25],"cause":[26],"difficulties":[27],"to":[28,68,75,96],"detect":[29],"lesions":[30],"as":[31,33,119],"well":[32],"perform":[34],"interventions":[35],"if":[36],"required":[37],"for":[38,170],"medical":[39,43],"doctors.":[40],"In":[41,60],"every":[42],"center":[44],"all":[45],"over":[46],"world,":[48],"analyzing":[49],"endoscopic":[50],"images":[51],"with":[52],"bubbles":[53,73],"becoming":[55],"vital":[57],"practical":[58],"issue.":[59],"this":[61],"paper,":[62],"we":[63,91],"propose":[64],"an":[65],"automatic":[66],"scheme":[67],"segment":[69],"regions":[70],"thanks":[74],"recent":[77],"advantages":[78],"deep":[81],"neural":[82],"network":[83],"-":[84],"U-net.":[85],"Based":[86],"on":[87,140],"segmentation":[89],"results,":[90],"construct":[92],"classification":[94,107],"model":[95,108],"evaluate":[97],"cleaning":[99],"level":[100],"current":[103,133],"examined":[104],"images.":[105,176],"utilizes":[109],"features":[110],"which":[111],"directly":[112],"extracted":[113],"from":[114],"segmented":[116],"areas":[117],"such":[118],"number":[121],"their":[126],"concentrating":[127],"distribution":[128],"scattering":[130],"view.":[134],"proposed":[136,155,164],"method":[137,165],"evaluated":[139],"testing":[142],"dataset":[143],"validated":[144],"by":[145,153],"endoscopists.":[147],"Accuracy":[148],"quality":[151],"assessment":[152],"techniques":[156],"achieves":[157],"rate":[159],"90%.":[161],"Therefore,":[162],"presents":[166],"feasible":[168],"tool":[169],"automatically":[171],"eliminating":[172],"unclean":[174],"UGIE":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
