{"id":"https://openalex.org/W4308799802","doi":"https://doi.org/10.1016/j.iswa.2022.200149","title":"Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images","display_name":"Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4308799802","doi":"https://doi.org/10.1016/j.iswa.2022.200149"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iswa.2022.200149","pdf_url":null,"source":{"id":"https://openalex.org/S4210234522","display_name":"Intelligent Systems with Applications","issn_l":"2667-3053","issn":["2667-3053"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.iswa.2022.200149","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082806106","display_name":"Imran Iqbal","orcid":"https://orcid.org/0000-0001-7031-6674"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Imran Iqbal","raw_affiliation_strings":["Department of Information and Computational Sciences, School of Mathematical Sciences and LMAM, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computational Sciences, School of Mathematical Sciences and LMAM, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080401570","display_name":"Khuram Walayat","orcid":"https://orcid.org/0000-0001-8032-2066"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"funder","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Khuram Walayat","raw_affiliation_strings":["Institute of Materials and Processes, School of Engineering, University of Edinburgh, Sanderson Building, King's Buildings Robert Stevenson Road, Edinburgh, Scotland EH9 3FB, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Materials and Processes, School of Engineering, University of Edinburgh, Sanderson Building, King's Buildings Robert Stevenson Road, Edinburgh, Scotland EH9 3FB, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113927309","display_name":"Mohib Ullah Kakar","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"funder","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohib Ullah Kakar","raw_affiliation_strings":["Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108638166","display_name":"Jinwen Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinwen Ma","raw_affiliation_strings":["Department of Information and Computational Sciences, School of Mathematical Sciences and LMAM, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computational Sciences, School of Mathematical Sciences and LMAM, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108638166"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":5.262,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.814766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"200149","last_page":"200149"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9988,"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":0.9988,"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/T10696","display_name":"Gastric Cancer Management and Outcomes","score":0.996,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9956,"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/identification","display_name":"Identification","score":0.65066713}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7881477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790665},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.65066713},{"id":"https://openalex.org/C2780512811","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Gastrointestinal tract","level":2,"score":0.60936505},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6032393},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5389856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43804863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42738086},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17011976},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12192711},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08656174},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iswa.2022.200149","pdf_url":null,"source":{"id":"https://openalex.org/S4210234522","display_name":"Intelligent Systems with Applications","issn_l":"2667-3053","issn":["2667-3053"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/9f5d1fcbac4644169a598946228bf012","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.iswa.2022.200149","pdf_url":null,"source":{"id":"https://openalex.org/S4210234522","display_name":"Intelligent Systems with Applications","issn_l":"2667-3053","issn":["2667-3053"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China","award_id":"2018AAA0100205"}],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1762630955","https://openalex.org/W19047075","https://openalex.org/W1966404537","https://openalex.org/W1974548001","https://openalex.org/W1982043138","https://openalex.org/W1993527699","https://openalex.org/W1995134618","https://openalex.org/W2022216393","https://openalex.org/W2026435221","https://openalex.org/W2062665794","https://openalex.org/W2090516711","https://openalex.org/W2106341946","https://openalex.org/W2110693908","https://openalex.org/W2140753590","https://openalex.org/W2151255896","https://openalex.org/W2158698691","https://openalex.org/W2162498245","https://openalex.org/W2464708700","https://openalex.org/W2560674852","https://openalex.org/W2767410506","https://openalex.org/W2794803511","https://openalex.org/W2887719255","https://openalex.org/W2908201961","https://openalex.org/W2909244736","https://openalex.org/W2957074743","https://openalex.org/W2966273162","https://openalex.org/W3027765088","https://openalex.org/W3027979861","https://openalex.org/W3082624664","https://openalex.org/W3097020048","https://openalex.org/W3114688163","https://openalex.org/W3131934736","https://openalex.org/W3146675199","https://openalex.org/W3164631742","https://openalex.org/W3177083627","https://openalex.org/W3196792983","https://openalex.org/W3201271102","https://openalex.org/W4200411636","https://openalex.org/W4206437360","https://openalex.org/W4211199921","https://openalex.org/W4245439330","https://openalex.org/W4294343881","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W4399254932","https://openalex.org/W4312417841","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W3193565141","https://openalex.org/W3167935049","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2951211570"],"abstract_inverted_index":{"As":[0],"a":[1,48,104,122],"powerful":[2],"analytic":[3],"tool":[4],"for":[5,10,52,208,237],"medical":[6,37,59,72],"image":[7,12,145],"analysis,":[8],"particularly":[9],"endoscopic":[11,45,135],"interpretation,":[13],"deep":[14,162],"convolutional":[15,149],"neural":[16],"network":[17],"(DCNN)":[18],"has":[19],"gained":[20],"remarkable":[21],"attention":[22],"due":[23],"to":[24,27,31,128,151,205,224],"its":[25,226],"capacity":[26],"provide":[28],"results":[29,158,187],"comparable":[30],"or":[32],"even":[33,51],"exceeding":[34],"those":[35],"of":[36,41,67,88,107,118,159,169,188,211,243],"experts.":[38],"Automated":[39],"identification":[40],"gastrointestinal":[42,76,90,132,212,245],"abnormalities":[43,133,246],"with":[44,134,141,248],"images":[46],"is":[47,96,102,126,138,217],"challenging":[49],"task":[50],"experienced":[53],"gastroenterologists":[54,207],"which":[55],"could":[56],"greatly":[57,83],"aid":[58],"diagnosis":[60],"and":[61,65,82,98,100,109,147,155,179,201,234,239,251],"reduce":[62],"the":[63,74,86,89,113,116,153,174,189,209,241],"time":[64,250],"cost":[66],"investigational":[68],"procedures.":[69],"Nonetheless,":[70],"in":[71,112,167,182],"diagnosis,":[73],"human":[75,131,244],"tract":[77,213],"findings":[78],"are":[79,165],"manually":[80],"determined,":[81],"depend":[84],"on":[85,220],"prowess":[87],"endoscopist.":[91],"In":[92],"addition,":[93],"this":[94,229],"evaluation":[95],"laborious":[97],"onerous,":[99],"there":[101],"also":[103,218],"high":[105],"degree":[106],"intra-":[108],"inter-laboratory":[110],"discrepancy":[111],"outcomes.":[114],"With":[115],"aim":[117],"preventing":[119],"these":[120],"issues,":[121],"specialized":[123],"DCNN":[124],"architecture":[125],"proposed":[127,161,190],"accurately":[129],"identify":[130],"images.":[136],"It":[137],"meticulously":[139],"designed":[140],"multiple":[142],"routes,":[143],"various":[144],"resolutions":[146],"several":[148],"layers":[150],"improve":[152],"efficacy":[154],"performance.":[156],"The":[157,185],"our":[160],"learning-based":[163],"method":[164],"presented":[166],"terms":[168],"specificity,":[170],"recall,":[171],"area":[172],"under":[173],"receiver":[175],"operating":[176],"characteristics":[177],"(AUROC)":[178],"other":[180],"metrics":[181],"Kvasir":[183],"dataset.":[184],"experimental":[186],"algorithm":[191],"outdo":[192],"recent":[193],"techniques,":[194],"exhibiting":[195],"0.9743":[196],"Matthews":[197],"correlation":[198],"coefficient":[199],"(MCC),":[200],"can":[202],"be":[203],"used":[204],"assist":[206],"classification":[210,242],"abnormalities.":[214],"Proposed":[215],"model":[216],"assessed":[219],"skewed":[221],"Kvasir-Capsule":[222],"dataset":[223],"show":[225],"genericity.":[227],"Consequently,":[228],"approach":[230],"offers":[231],"an":[232],"innovative":[233],"attainable":[235],"way":[236],"accelerating":[238],"systematizing":[240],"along":[247],"saving":[249],"exertion.":[252]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4308799802","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":4}],"updated_date":"2025-03-21T18:52:37.962656","created_date":"2022-11-15"}