{"id":"https://openalex.org/W4288433117","doi":"https://doi.org/10.1142/s0219467823500419","title":"Wireless Capsule Endoscopy Infected Images Detection and Classification Using MobileNetV2-BiLSTM Model","display_name":"Wireless Capsule Endoscopy Infected Images Detection and Classification Using MobileNetV2-BiLSTM Model","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288433117","doi":"https://doi.org/10.1142/s0219467823500419"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467823500419","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500419","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5009864588","display_name":"P. Padmavathi","orcid":"https://orcid.org/0000-0002-6030-3420"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]},{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Padmavathi","raw_affiliation_strings":["School of CSE, Vellore Institute of Technology, VIT-AP University, Amaravathi, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of CSE, Vellore Institute of Technology, VIT-AP University, Amaravathi, Andhra Pradesh, India","institution_ids":["https://openalex.org/I876193797","https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108272599","display_name":"J. Harikiran","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]},{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Harikiran","raw_affiliation_strings":["School of CSE, Vellore Institute of Technology, VIT-AP University, Amaravathi, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"School of CSE, Vellore Institute of Technology, VIT-AP University, Amaravathi, Andhra Pradesh, India","institution_ids":["https://openalex.org/I876193797","https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009864588"],"corresponding_institution_ids":["https://openalex.org/I4401726783","https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":1.137,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76965893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9961000084877014,"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":0.9961000084877014,"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":0.7722394466400146},{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.7147597074508667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6390678286552429},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49976515769958496},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44608819484710693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3975096344947815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3512430489063263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722394466400146},{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.7147597074508667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6390678286552429},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49976515769958496},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44608819484710693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3975096344947815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3512430489063263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467823500419","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500419","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1963531422","https://openalex.org/W1995517024","https://openalex.org/W2112134039","https://openalex.org/W2645307115","https://openalex.org/W2785910247","https://openalex.org/W2911440706","https://openalex.org/W2915421667","https://openalex.org/W2954941904","https://openalex.org/W2977771271","https://openalex.org/W2991153448","https://openalex.org/W3025048607","https://openalex.org/W3043348615","https://openalex.org/W3044704315","https://openalex.org/W3097020048","https://openalex.org/W3132265016","https://openalex.org/W3163988590","https://openalex.org/W3166957602","https://openalex.org/W3183027397"],"related_works":["https://openalex.org/W182326524","https://openalex.org/W2316510287","https://openalex.org/W2412302037","https://openalex.org/W1537084870","https://openalex.org/W2440623997","https://openalex.org/W2997855214","https://openalex.org/W2671563698","https://openalex.org/W114256097","https://openalex.org/W2728546855","https://openalex.org/W2462803277"],"abstract_inverted_index":{"An":[0],"efficient":[1],"tool":[2],"to":[3,41,82,114,143,157],"execute":[4],"painless":[5],"imaging":[6],"and":[7,26,36,62,70,91,102,137,183,194],"examine":[8],"gastrointestinal":[9],"tract":[10],"illnesses":[11],"of":[12,51,93,118,162,207,215],"the":[13,29,44,48,52,74,77,89,111,116,122,125,128,139,144,159,163,180,184,201,213,223],"intestine":[14],"is":[15,47,141,155,177,186],"also":[16],"known":[17],"as":[18],"wireless":[19],"capsule":[20],"endoscopy":[21],"(WCE).":[22],"Performance,":[23],"safety,":[24],"tolerance,":[25],"efficacy":[27],"are":[28,57],"several":[30],"concerns":[31],"that":[32,109,200],"make":[33],"adaptation":[34],"challenging":[35],"wide":[37],"applicability.":[38],"In":[39,80],"addition,":[40],"detect":[42],"abnormalities,":[43],"great":[45],"importance":[46],"automatic":[49],"analysis":[50],"WCE":[53,94,119,216],"dataset.":[54],"These":[55],"issues":[56],"resolved":[58],"by":[59,97,188],"numerous":[60],"vision-based":[61],"computer-aided":[63],"solutions.":[64],"But,":[65],"they":[66],"want":[67],"further":[68],"enhancements":[69],"do":[71],"not":[72],"give":[73],"accuracy":[75,206],"at":[76],"desired":[78],"level.":[79],"order":[81],"solve":[83],"these":[84],"issues,":[85],"this":[86],"paper":[87],"presents":[88],"detection":[90],"classification":[92,172],"infected":[95],"images":[96,117,217],"a":[98,104],"deep":[99],"neural":[100],"network":[101],"utilizes":[103],"bleed":[105],"image":[106],"recognizer":[107],"(BIR)":[108],"associates":[110],"MobileNetV2":[112,129],"design":[113,168],"classify":[115],"infected.":[120],"For":[121],"opening-level":[123],"evaluation,":[124],"BIR":[126],"uses":[127],"model":[130],"for":[131,146],"its":[132],"minimum":[133],"computation":[134],"power":[135],"necessity,":[136],"then":[138],"outcome":[140],"sent":[142],"CNN":[145],"more":[147,170],"processing.":[148],"Then,":[149],"Bi-LSTM":[150,167],"with":[151,209,212],"an":[152],"attention":[153,166],"mechanism":[154],"used":[156],"improve":[158],"performance":[160,185],"level":[161],"model.":[164],"Hybrid":[165],"yields":[169],"accurate":[171],"outcomes.":[173],"The":[174,196],"proposed":[175],"scheme":[176,203],"implemented":[178],"in":[179],"Python":[181],"platform":[182],"evaluated":[187],"Cohen\u2019s":[189],"kappa,":[190],"F1-score,":[191],"recall,":[192],"accuracy,":[193],"precision.":[195],"implementation":[197],"outcomes":[198,221],"show":[199],"introduced":[202],"achieved":[204],"maximum":[205],"0.996":[208],"data":[210],"augmentation":[211],"dataset":[214],"which":[218],"provided":[219],"higher":[220],"than":[222],"others.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}