{"id":"https://openalex.org/W4388901912","doi":"https://doi.org/10.1109/wincom59760.2023.10322944","title":"ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images","display_name":"ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388901912","doi":"https://doi.org/10.1109/wincom59760.2023.10322944"},"language":"en","primary_location":{"id":"doi:10.1109/wincom59760.2023.10322944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10322944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","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/A5074847373","display_name":"Yassine Oukdach","orcid":"https://orcid.org/0009-0000-9748-2875"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Yassine Oukdach","raw_affiliation_strings":["Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","institution_ids":["https://openalex.org/I4210088687"]},{"raw_affiliation_string":"LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002019617","display_name":"Zakaria Kerkaou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zakaria Kerkaou","raw_affiliation_strings":["Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","institution_ids":["https://openalex.org/I4210088687"]},{"raw_affiliation_string":"LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087200808","display_name":"Mohamed El Ansari","orcid":"https://orcid.org/0000-0001-5394-9066"},"institutions":[{"id":"https://openalex.org/I4210153608","display_name":"Universit\u00e9 Moulay Ismail de Meknes","ror":"https://ror.org/04cnscd67","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210153608"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed El Ansari","raw_affiliation_strings":["University of Moulay Ismail,Faculty of Sciences,Informatics and Applications Laboratory, Department of Computer Science,Meknès,Morocco"],"affiliations":[{"raw_affiliation_string":"University of Moulay Ismail,Faculty of Sciences,Informatics and Applications Laboratory, Department of Computer Science,Meknès,Morocco","institution_ids":["https://openalex.org/I4210153608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050247701","display_name":"Lahcen Koutti","orcid":"https://orcid.org/0000-0002-4274-3414"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Lahcen Koutti","raw_affiliation_strings":["Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","institution_ids":["https://openalex.org/I4210088687"]},{"raw_affiliation_string":"LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113051988","display_name":"Ahmed Fouad El Ouafdi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ahmed Fouad El Ouafdi","raw_affiliation_strings":["Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco"],"affiliations":[{"raw_affiliation_string":"Ibn Zohr University,Faculty of Science,LabSIV, Department of Computer Science,Agadir,Morocco","institution_ids":["https://openalex.org/I4210088687"]},{"raw_affiliation_string":"LabSIV, Department of Computer Science, Faculty of Science, Ibn Zohr University, Agadir, Morocco","institution_ids":["https://openalex.org/I4210088687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074847373"],"corresponding_institution_ids":["https://openalex.org/I4210088687"],"apc_list":null,"apc_paid":null,"fwci":3.1539,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91626623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9724000096321106,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9229999780654907,"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/computer-science","display_name":"Computer science","score":0.7224057912826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.717812716960907},{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.7157015800476074},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7118088006973267},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5545825958251953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.51996910572052},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46591830253601074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44809865951538086},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4471306800842285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39867550134658813},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0850662887096405},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08362135291099548},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07587090134620667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224057912826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717812716960907},{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.7157015800476074},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7118088006973267},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5545825958251953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.51996910572052},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46591830253601074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44809865951538086},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4471306800842285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39867550134658813},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0850662887096405},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08362135291099548},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07587090134620667},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom59760.2023.10322944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10322944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","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":29,"referenced_works":["https://openalex.org/W1539580971","https://openalex.org/W2025956883","https://openalex.org/W2183341477","https://openalex.org/W2290355700","https://openalex.org/W2322131532","https://openalex.org/W2493108192","https://openalex.org/W2593431520","https://openalex.org/W2594656827","https://openalex.org/W2803469628","https://openalex.org/W2806618077","https://openalex.org/W2898769570","https://openalex.org/W2948930564","https://openalex.org/W2963446712","https://openalex.org/W3094502228","https://openalex.org/W3103862715","https://openalex.org/W3125908376","https://openalex.org/W3164631742","https://openalex.org/W3196792983","https://openalex.org/W4205282176","https://openalex.org/W4214851542","https://openalex.org/W4226530256","https://openalex.org/W4294343881","https://openalex.org/W4309696396","https://openalex.org/W4310793398","https://openalex.org/W4315754639","https://openalex.org/W4322719806","https://openalex.org/W4385245566","https://openalex.org/W6734524359","https://openalex.org/W6811046068"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Vision":[0],"Transformer":[1],"(ViT)":[2],"and":[3,66,116],"its":[4],"variants":[5],"have":[6],"gained":[7],"significant":[8],"prominence":[9],"in":[10,151],"computer":[11],"vision":[12,45],"due":[13],"to":[14,62,87,111,153],"their":[15],"exceptional":[16],"performance":[17],"across":[18],"various":[19],"tasks.":[20],"However,":[21],"ViTs":[22],"are":[23,94],"data-hungry":[24],"models":[25],"that":[26],"require":[27],"vast":[28],"amounts":[29],"of":[30,37,144],"data":[31],"for":[32,49],"training.":[33],"Given":[34],"the":[35,54,84,98,120,133,142,145],"scarcity":[36],"medical":[38],"data,":[39],"this":[40,76],"paper":[41],"presents":[42],"a":[43,80,107],"fine-tuned":[44,53],"transformer":[46],"specifically":[47],"designed":[48],"small-size":[50],"datasets.":[51],"We":[52],"original":[55,85,99],"model":[56],"using":[57,106],"convolutional":[58],"neural":[59],"networks":[60],"(CNNs)":[61],"extract":[63,88],"both":[64],"high":[65],"low-level":[67],"features":[68,89],"from":[69,90],"wireless":[70],"capsule":[71],"endoscopy":[72],"(WCE)":[73],"images.":[74],"In":[75],"work,":[77],"we":[78],"integrate":[79],"CNN":[81],"module":[82],"into":[83,114],"ViT":[86,100],"WCE":[91],"patches,":[92],"which":[93],"then":[95],"fused":[96],"with":[97],"features.":[101],"The":[102,138],"classification":[103],"is":[104],"accomplished":[105],"multilayer":[108],"perceptron":[109],"(MLP)":[110],"categorize":[112],"images":[113],"normal":[115],"abnormal":[117],"categories":[118,131],"on":[119,132],"Kvasir":[121],"Capsule":[122],"Endoscopy":[123,136],"dataset,":[124],"as":[125,127],"well":[126],"bleeding":[128],"or":[129],"non-bleeding":[130],"Red":[134],"Lesion":[135],"dataset.":[137],"experimental":[139],"findings":[140],"substantiate":[141],"efficacy":[143],"suggested":[146],"approach,":[147],"yielding":[148],"favorable":[149],"outcomes":[150],"comparison":[152],"other":[154],"state-of-the-art":[155],"methods.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}