{"id":"https://openalex.org/W2155144205","doi":"https://doi.org/10.1109/fuzzy.2004.1375382","title":"Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems","display_name":"Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2155144205","doi":"https://doi.org/10.1109/fuzzy.2004.1375382","mag":"2155144205"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2004.1375382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","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/A5070407294","display_name":"Vassilis Kodogiannis","orcid":"https://orcid.org/0000-0002-3862-0278"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"V.S. Kodogiannis","raw_affiliation_strings":["Mechatronics Group, School of Computer Science, University of Westminster, London, UK"],"affiliations":[{"raw_affiliation_string":"Mechatronics Group, School of Computer Science, University of Westminster, London, UK","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070407294"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":1.7914,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87111486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1425","last_page":"1429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9746999740600586,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7440438270568848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6688466668128967},{"id":"https://openalex.org/keywords/achromatic-lens","display_name":"Achromatic lens","score":0.6435146331787109},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5974902510643005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5718518495559692},{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.5706512331962585},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5657910704612732},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5613571405410767},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.5287905335426331},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.49350059032440186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46779710054397583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4508669972419739},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43032947182655334},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42145392298698425},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1457105278968811},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11566656827926636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10740518569946289},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08257845044136047}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7440438270568848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688466668128967},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.6435146331787109},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5974902510643005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5718518495559692},{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.5706512331962585},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5657910704612732},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5613571405410767},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.5287905335426331},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.49350059032440186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46779710054397583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4508669972419739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43032947182655334},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42145392298698425},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1457105278968811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11566656827926636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10740518569946289},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08257845044136047},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzzy.2004.1375382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.wmin.ac.uk:2181","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.8549","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.8549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://westminsterresearch.wmin.ac.uk/2181/01/Kodogiannis_2004_final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1482057379","https://openalex.org/W1584161386","https://openalex.org/W1630613304","https://openalex.org/W2059432853","https://openalex.org/W2065643902","https://openalex.org/W2110304648","https://openalex.org/W2116701244","https://openalex.org/W2157595929","https://openalex.org/W6636619900","https://openalex.org/W6666999377"],"related_works":["https://openalex.org/W2181667894","https://openalex.org/W1971049897","https://openalex.org/W2087227609","https://openalex.org/W1964564375","https://openalex.org/W1966026245","https://openalex.org/W2603119503","https://openalex.org/W2099314438","https://openalex.org/W2327396206","https://openalex.org/W2117158375","https://openalex.org/W2132521003"],"abstract_inverted_index":{"An":[0],"innovative":[1],"detection":[2,9,113],"system":[3,118],"to":[4,46,101,121],"support":[5],"medical":[6],"diagnosis":[7],"and":[8,58,88,92],"of":[10,65,72,77,95,97,115],"abnormal":[11],"lesions":[12],"by":[13],"processing":[14],"endoscopic":[15,73],"images":[16,20],"is":[17],"presented.":[18],"The":[19,75,112],"used":[21,133],"in":[22,55,109,139],"this":[23,110],"study":[24],"have":[25,43,105],"been":[26,44,106],"obtained":[27],"using":[28],"the":[29,52,56,93,116],"new":[30,48],"M2A":[31],"swallowable":[32],"imaging":[33],"capsule":[34],"-":[35],"a":[36,62,135],"patented,":[37],"video":[38],"colour-imaging":[39],"disposable":[40],"capsule.":[41],"Schemes":[42],"developed":[45],"extract":[47],"texture":[49,53],"features":[50],"from":[51,67],"spectra":[54],"chromatic":[57],"achromatic":[59],"domains":[60],"for":[61],"selected":[63],"region":[64],"interest":[66],"each":[68],"colour":[69],"component":[70],"histogram":[71],"images.":[74],"implementation":[76],"an":[78,125],"advanced":[79],"fuzzy":[80,86],"inference":[81],"neural":[82,90],"network":[83],"which":[84],"combines":[85],"systems":[87],"artificial":[89],"networks":[91],"concept":[94],"fusion":[96],"multiple":[98],"classifiers":[99],"dedicated":[100],"specific":[102],"feature":[103],"parameters":[104],"also":[107],"adopted":[108],"paper.":[111],"accuracy":[114],"proposed":[117],"has":[119],"reached":[120],"100%,":[122],"providing":[123],"thus":[124],"indication":[126],"that":[127],"such":[128],"intelligent":[129],"schemes":[130],"could":[131],"be":[132],"as":[134],"supplementary":[136],"diagnostic":[137],"tool":[138],"endoscopy.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
