{"id":"https://openalex.org/W1499621027","doi":"https://doi.org/10.1109/ijcnn.2005.1556282","title":"Neural network-based approach for the classification of wireless-capsule endoscopic images","display_name":"Neural network-based approach for the classification of wireless-capsule endoscopic images","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1499621027","doi":"https://doi.org/10.1109/ijcnn.2005.1556282","mag":"1499621027"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556282","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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","Sch. of Comput. Sci, Westminster Univ., London, UK"],"affiliations":[{"raw_affiliation_string":"Mechatronics Group, School of Computer Science, University of Westminster, London, UK","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"Sch. of Comput. Sci, Westminster Univ., London, UK","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021558790","display_name":"M. Boulougoura","orcid":null},"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":false,"raw_author_name":"M. Boulougoura","raw_affiliation_strings":["Mechatronics Group, School of Computer Science, University of Westminster, London, UK","Sch. of Comput. Sci, Westminster Univ., London, UK"],"affiliations":[{"raw_affiliation_string":"Mechatronics Group, School of Computer Science, University of Westminster, London, UK","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"Sch. of Comput. Sci, Westminster Univ., London, UK","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070407294"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":4.6667,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2423","last_page":"2428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9980000257492065,"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":0.9980000257492065,"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/T10696","display_name":"Gastric Cancer Management and Outcomes","score":0.9289000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.8188607692718506},{"id":"https://openalex.org/keywords/achromatic-lens","display_name":"Achromatic lens","score":0.7825440168380737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050989866256714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6874648332595825},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6833518147468567},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.6263549327850342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5793599486351013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5196512937545776},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47920259833335876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46729615330696106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4624137878417969},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44544968008995056},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1892796754837036},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13468515872955322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09336468577384949},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08838534355163574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07836788892745972}],"concepts":[{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.8188607692718506},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.7825440168380737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050989866256714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6874648332595825},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6833518147468567},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.6263549327850342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5793599486351013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196512937545776},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47920259833335876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46729615330696106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4624137878417969},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44544968008995056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1892796754837036},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13468515872955322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09336468577384949},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08838534355163574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07836788892745972},{"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/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/ijcnn.2005.1556282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556282","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.wmin.ac.uk:2186","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:westminsterresearch.westminster.ac.uk:92x1x","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IJCNN.2005.1556282","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"book-chapter"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482057379","https://openalex.org/W1584161386","https://openalex.org/W1650175677","https://openalex.org/W2059432853","https://openalex.org/W2065643902","https://openalex.org/W2096737765","https://openalex.org/W2116701244","https://openalex.org/W2124784496","https://openalex.org/W2157595929","https://openalex.org/W6628699805","https://openalex.org/W6666999377"],"related_works":["https://openalex.org/W2181667894","https://openalex.org/W2087227609","https://openalex.org/W1971049897","https://openalex.org/W2099314438","https://openalex.org/W1964564375","https://openalex.org/W2603119503","https://openalex.org/W1966026245","https://openalex.org/W2327396206","https://openalex.org/W2117158375","https://openalex.org/W2132521003"],"abstract_inverted_index":{"The":[0,69,96],"importance":[1],"of":[2,16,52,59,71,73,84,100],"computer-assisted":[3],"diagnosis":[4],"in":[5,12,42,93,120],"endoscopy":[6],"is":[7],"to":[8,33,77],"assist":[9],"the":[10,14,20,23,39,43,63,82,101],"physician":[11],"detecting":[13],"status":[15],"tissues":[17],"by":[18,62],"characterising":[19],"features":[21,37],"from":[22,38,54],"endoscopic":[24],"image.":[25],"In":[26],"this":[27,94],"paper":[28],"schemes":[29,111],"have":[30,89],"been":[31,90],"developed":[32],"extract":[34],"new":[35,64],"texture":[36,40],"spectra":[41],"chromatic":[44],"and":[45,81],"achromatic":[46],"domains":[47],"for":[48],"a":[49,116],"selected":[50],"region":[51],"interest":[53],"each":[55],"colour":[56],"component":[57],"histogram":[58],"images":[60],"acquired":[61],"M2A":[65],"swallowable":[66],"imaging":[67],"capsule.":[68],"concept":[70],"fusion":[72],"multiple":[74],"classifiers":[75],"dedicated":[76],"specific":[78],"feature":[79],"parameters":[80],"implementation":[83],"an":[85,106],"advanced":[86],"intelligent":[87,110],"scheme":[88],"also":[91],"adopted":[92],"study.":[95],"high":[97],"detection":[98],"accuracy":[99],"proposed":[102],"systems":[103],"provides":[104],"thus":[105],"indication":[107],"that":[108],"such":[109],"could":[112],"be":[113],"used":[114],"as":[115],"supplementary":[117],"diagnostic":[118],"tool":[119],"capsule":[121],"endoscopy.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}