{"id":"https://openalex.org/W4313306914","doi":"https://doi.org/10.1109/iccais56082.2022.9990445","title":"Automatic classification of upper gastrointestinal tract diseases from endoscopic images","display_name":"Automatic classification of upper gastrointestinal tract diseases from endoscopic images","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4313306914","doi":"https://doi.org/10.1109/iccais56082.2022.9990445"},"language":"en","primary_location":{"id":"doi:10.1109/iccais56082.2022.9990445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais56082.2022.9990445","pdf_url":null,"source":{"id":"https://openalex.org/S4363608617","display_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5029463934","display_name":"Phuong-Thao Nguyen","orcid":"https://orcid.org/0000-0002-7586-5725"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Phuong-Thao Nguyen","raw_affiliation_strings":["HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045136480","display_name":"Minh-Quan Le","orcid":"https://orcid.org/0000-0003-0023-6235"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh-Quan Le","raw_affiliation_strings":["HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085901189","display_name":"Quoc-Trung Dao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122209","display_name":"GameDesk","ror":"https://ror.org/01zccn017","country_code":"US","type":"education","lineage":["https://openalex.org/I4210122209"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quoc-Trung Dao","raw_affiliation_strings":["Gameloft Han Studio"],"affiliations":[{"raw_affiliation_string":"Gameloft Han Studio","institution_ids":["https://openalex.org/I4210122209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062526669","display_name":"Tran Anh Vu","orcid":"https://orcid.org/0000-0002-3439-6491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vu Anh Tran","raw_affiliation_strings":["HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081957303","display_name":"Hang Viet Dao","orcid":"https://orcid.org/0000-0002-3685-9496"},"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":"Viet-Hang Dao","raw_affiliation_strings":["Institute of Gastroenterology and Hepatology,Hanoi,Vietnam","Hanoi Medical University Hospital, Hanoi, Vietnam","Institute of Gastroenterology and Hepatology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Institute of Gastroenterology and Hepatology,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"Hanoi Medical University Hospital, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210154795"]},{"raw_affiliation_string":"Institute of Gastroenterology and Hepatology, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101724817","display_name":"Thanh-Hai Tran","orcid":"https://orcid.org/0000-0003-3133-3361"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thanh-Hai Tran","raw_affiliation_strings":["HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"HUST,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, HUST, Hanoi, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029463934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7213,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7377451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"442","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9884999990463257,"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":0.963699996471405,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7755991220474243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067524790763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7011704444885254},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5104243159294128},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4947449862957001},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48269200325012207},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45340484380722046},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4507572054862976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44630712270736694},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.43997126817703247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38586586713790894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26307010650634766}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7755991220474243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067524790763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7011704444885254},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5104243159294128},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4947449862957001},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48269200325012207},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45340484380722046},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4507572054862976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44630712270736694},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.43997126817703247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38586586713790894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26307010650634766},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais56082.2022.9990445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais56082.2022.9990445","pdf_url":null,"source":{"id":"https://openalex.org/S4363608617","display_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2765095566","https://openalex.org/W2802572938","https://openalex.org/W2962858109","https://openalex.org/W2963351448","https://openalex.org/W2979904523","https://openalex.org/W3003770199","https://openalex.org/W3022682304","https://openalex.org/W4211112636","https://openalex.org/W4246193833","https://openalex.org/W4285222955","https://openalex.org/W6687483927","https://openalex.org/W6766437311"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2952813363","https://openalex.org/W4360783045"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"has":[3,24],"played":[4],"an":[5],"increasingly":[6],"crucial":[7,52],"part":[8],"in":[9,13,20,161,168],"our":[10],"daily":[11],"lives":[12],"recent":[14],"years.":[15],"Convolutional":[16,81],"neural":[17],"network":[18],"(CNN)":[19],"medical":[21],"image":[22],"processing":[23],"lately":[25],"received":[26],"a":[27,45,64,80,127,139],"lot":[28],"of":[29,34,69,76,96,109,136,149,159],"interest.":[30],"With":[31],"the":[32,38,122,129,154,169],"introduction":[33],"modern":[35],"endoscopic":[36],"technologies,":[37],"doctor":[39],"could":[40],"be":[41],"able":[42],"to":[43,55],"diagnose":[44],"patient":[46],"more":[47],"accurately.":[48],"Consequently,":[49],"it":[50],"becomes":[51],"and":[53,90,101,114,147,151],"advantageous":[54],"use":[56],"computer-aided":[57],"support":[58],"during":[59],"procedures.":[60],"This":[61],"paper":[62],"proposes":[63],"framework":[65],"for":[66],"automatic":[67],"classification":[68,130],"Upper":[70,111],"Gastrointestinal":[71],"tract":[72],"diseases":[73,113],"that":[74,94],"consists":[75,95],"two":[77],"main":[78],"parts:":[79],"Neural":[82],"Network":[83],"model":[84],"(ResNet-50)":[85],"with":[86,134],"Focal":[87],"Loss":[88],"application":[89],"Data":[91],"Augmentation":[92],"techniques":[93],"Geometric":[97],"Transformation":[98,103],"(GeoT),":[99],"Brightness":[100],"Contrast":[102],"(BaC),":[104],"which":[105],"learn":[106],"hidden":[107],"features":[108],"various":[110],"GI":[112],"anatomical":[115],"landmark":[116],"classes,":[117],"as":[118,120],"well":[119],"solving":[121],"imbalanced":[123],"dataset":[124,141],"problem.":[125],"As":[126],"result,":[128],"result":[131],"is":[132,157],"improved,":[133],"98.61%":[135],"Accuracy":[137],"on":[138],"self-collected":[140],"from":[142],"Hanoi":[143],"Medical":[144],"University":[145],"Hospital":[146],"Institute":[148],"Gastroenterology":[150],"Hepatology.":[152],"Additionally,":[153],"proposed":[155],"method":[156],"capable":[158],"using":[160],"real-time":[162],"applications":[163],"by":[164],"classifying":[165],"every":[166],"frame":[167],"video":[170],"streams.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
