{"id":"https://openalex.org/W4205611474","doi":"https://doi.org/10.1109/iciis53135.2021.9660670","title":"Automated gastrointestinal abnormalities detection from endoscopic images","display_name":"Automated gastrointestinal abnormalities detection from endoscopic images","publication_year":2021,"publication_date":"2021-09-12","ids":{"openalex":"https://openalex.org/W4205611474","doi":"https://doi.org/10.1109/iciis53135.2021.9660670"},"language":"en","primary_location":{"id":"doi:10.1109/iciis53135.2021.9660670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis53135.2021.9660670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038278814","display_name":"Premananth Gowtham","orcid":"https://orcid.org/0000-0002-3138-1657"},"institutions":[{"id":"https://openalex.org/I198412587","display_name":"University of Jaffna","ror":"https://ror.org/02fwjgw17","country_code":"LK","type":"education","lineage":["https://openalex.org/I198412587"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Premananth Gowtham","raw_affiliation_strings":["Dept. of Computer Engineering, Faculty of Engineering, University of Jaffna, Srilanka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Faculty of Engineering, University of Jaffna, Srilanka","institution_ids":["https://openalex.org/I198412587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033579333","display_name":"Mahesan Niranjan","orcid":"https://orcid.org/0000-0001-7021-140X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesan Niranjan","raw_affiliation_strings":["Dept. of Electronics and Computer Science, University of Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Computer Science, University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029074298","display_name":"Kaneswaran Anantharajah","orcid":null},"institutions":[{"id":"https://openalex.org/I198412587","display_name":"University of Jaffna","ror":"https://ror.org/02fwjgw17","country_code":"LK","type":"education","lineage":["https://openalex.org/I198412587"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Anantharajah Kaneswaran","raw_affiliation_strings":["Dept. of Computer Engineering, Faculty of Engineering, University of Jaffna, Srilanka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Faculty of Engineering, University of Jaffna, Srilanka","institution_ids":["https://openalex.org/I198412587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4789,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86531585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9907000064849854,"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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":0.8141624927520752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7891921401023865},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7870510816574097},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.735650360584259},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6578933000564575},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6214531660079956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5734208822250366},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4909692108631134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4691072106361389},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45890113711357117},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4493471086025238},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.44892096519470215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44422969222068787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.434866726398468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41793787479400635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.354067862033844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141624927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7891921401023865},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7870510816574097},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.735650360584259},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6578933000564575},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6214531660079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5734208822250366},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4909692108631134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4691072106361389},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45890113711357117},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4493471086025238},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.44892096519470215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44422969222068787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.434866726398468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41793787479400635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.354067862033844},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis53135.2021.9660670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis53135.2021.9660670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2279098554","https://openalex.org/W2290355700","https://openalex.org/W2335728318","https://openalex.org/W2533853894","https://openalex.org/W2618530766","https://openalex.org/W2623808523","https://openalex.org/W2691395254","https://openalex.org/W2787161171","https://openalex.org/W2799068821","https://openalex.org/W2806618077","https://openalex.org/W2963446712","https://openalex.org/W3118608800","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6748313600","https://openalex.org/W6750409589"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W3014041368","https://openalex.org/W2910234612","https://openalex.org/W4386087993","https://openalex.org/W4285815841"],"abstract_inverted_index":{"Impressive":[0],"high":[1],"performance":[2],"reported":[3,154],"in":[4,52,54,108,151],"the":[5,18,41,87,109,136,140],"use":[6],"of":[7,20,105,112,159],"machine":[8],"learning":[9,67,96,148],"on":[10,75],"computer":[11],"vision":[12],"problems":[13],"is":[14,39,46,68,81,149],"often":[15,47,69],"due":[16],"to":[17,56,85,98,135],"availability":[19],"very":[21],"large":[22,77],"datasets":[23],"with":[24],"which":[25],"deep":[26],"neural":[27],"networks":[28],"can":[29],"be":[30],"trained.":[31],"With":[32],"inference":[33],"from":[34],"medical":[35,88,101],"images,":[36],"however,":[37],"this":[38,64,91],"not":[40],"case":[42],"and":[43,131],"available":[44],"data":[45],"only":[48],"a":[49,72,76,99,113,124],"small":[50],"fraction":[51],"size":[53],"comparison":[55],"benchmark":[57,141],"natural":[58,78],"scene":[59],"recognition":[60,129],"problems.":[61],"To":[62],"circumvent":[63],"problem,":[65,103],"transfer":[66,95,147],"applied,":[70],"where":[71],"model":[73,86],"trained":[74],"image":[79,128],"corpus":[80],"adapted,":[82],"or":[83],"pre-trained,":[84],"problem.":[89,138],"In":[90],"work,":[92],"we":[93,144],"consider":[94],"applied":[97],"specific":[100],"diagnostics":[102],"that":[104,146],"abnormality":[106],"detection":[107],"gastrointestinal":[110],"tract":[111],"human":[114],"body":[115],"using":[116],"images":[117],"obtained":[118],"during":[119],"endoscopy.":[120],"We":[121],"carry":[122],"out":[123],"search":[125],"over":[126],"several":[127],"architectures":[130],"adapt":[132],"pre-trained":[133],"models":[134],"endoscopy":[137],"Using":[139],"KVASIR":[142],"dataset,":[143],"show":[145],"effective":[150],"outperforming":[152],"previously":[153],"results,":[155],"at":[156],"an":[157],"accuracy":[158],"98.5\u00b10.27.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
