{"id":"https://openalex.org/W2063024506","doi":"https://doi.org/10.1109/icip.2014.7025560","title":"Helicobacter pylori infection detection from multiple X-ray images based on decision level fusion","display_name":"Helicobacter pylori infection detection from multiple X-ray images based on decision level fusion","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2063024506","doi":"https://doi.org/10.1109/icip.2014.7025560","mag":"2063024506"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102479583","display_name":"Kenta Ishihara","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Ishihara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9 Kita-ku, Sapporo, 060-0814 Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":18.2345,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.99167613,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2769","last_page":"2773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10276","display_name":"Helicobacter pylori-related gastroenterology studies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10276","display_name":"Helicobacter pylori-related gastroenterology studies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.9722999930381775,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9531999826431274,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7357606887817383},{"id":"https://openalex.org/keywords/helicobacter-pylori-infection","display_name":"Helicobacter pylori infection","score":0.642305850982666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309196949005127},{"id":"https://openalex.org/keywords/helicobacter-pylori","display_name":"Helicobacter pylori","score":0.6289159059524536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6243541240692139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5472792983055115},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5428919196128845},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.523016631603241},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41602861881256104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33143389225006104},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08800989389419556}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7357606887817383},{"id":"https://openalex.org/C2908868296","wikidata":"https://www.wikidata.org/wiki/Q180556","display_name":"Helicobacter pylori infection","level":3,"score":0.642305850982666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309196949005127},{"id":"https://openalex.org/C2776409635","wikidata":"https://www.wikidata.org/wiki/Q180556","display_name":"Helicobacter pylori","level":2,"score":0.6289159059524536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6243541240692139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5472792983055115},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5428919196128845},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.523016631603241},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41602861881256104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33143389225006104},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08800989389419556},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1976890616","https://openalex.org/W2010135967","https://openalex.org/W2026860891","https://openalex.org/W2044465660","https://openalex.org/W2049633694","https://openalex.org/W2069378448","https://openalex.org/W2095905764","https://openalex.org/W2097751986","https://openalex.org/W2102142721","https://openalex.org/W2103836136","https://openalex.org/W2109943925","https://openalex.org/W2119821739","https://openalex.org/W2147503283","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2157231599","https://openalex.org/W2159498975","https://openalex.org/W2161969291","https://openalex.org/W2168014483","https://openalex.org/W4239510810","https://openalex.org/W6682933812","https://openalex.org/W6684905197"],"related_works":["https://openalex.org/W4206934075","https://openalex.org/W3129484821","https://openalex.org/W2315307536","https://openalex.org/W2888491254","https://openalex.org/W2314845086","https://openalex.org/W4296750531","https://openalex.org/W2975848684","https://openalex.org/W2893671794","https://openalex.org/W2376638814","https://openalex.org/W2398458847"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"automatic":[4],"detection":[5,28,41,81,115,127,137,148],"method":[6,45,161],"of":[7,22,50,110,116,150,169],"Helicobacter":[8],"pylori":[9,56,79,118],"(H.":[10],"pylori)":[11],"infection":[12,57,80,119],"from":[13,63,82,129],"multiple":[14,27,40,64,126,136],"gastric":[15,51,111],"X-ray":[16,52,65,164],"images.":[17],"As":[18],"the":[19,43,87,91,98,114,130,141,147,159,167,170],"biggest":[20],"contribution":[21],"this":[23],"paper,":[24],"we":[25,73,123,134],"combine":[26,135],"results":[29,128,138,155],"based":[30,85,139],"on":[31,48,86,140],"a":[32],"decision":[33,142],"level":[34,143],"fusion.":[35],"In":[36],"order":[37],"to":[38,96,162],"obtain":[39,125],"results,":[42],"proposed":[44,160,171],"first":[46],"focuses":[47],"characteristics":[49],"images":[53,66,165],"with":[54],"H.":[55,78,117],"and":[58,90,122],"computes":[59],"several":[60,69],"visual":[61],"features":[62,76,84,93],"taken":[67],"in":[68],"specific":[70],"directions.":[71],"Second,":[72],"select":[74],"effective":[75],"for":[77,107],"all":[83],"minimal-Redundancy-Maximal-Relevance":[88],"algorithm,":[89],"selected":[92],"are":[94,105],"used":[95],"train":[97],"Support":[99],"Vector":[100],"Machine":[101],"(SVM)":[102],"classifiers":[103],"that":[104],"constructed":[106],"each":[108,151],"direction":[109],"radiography.":[112],"Therefore,":[113],"becomes":[120],"feasible,":[121],"can":[124],"SVM":[131,152],"classifiers.":[132],"Furthermore,":[133],"fusion":[144],"scheme":[145],"considering":[146],"performance":[149],"classifier.":[153],"Experimental":[154],"obtained":[156],"by":[157],"applying":[158],"real":[163],"prove":[166],"effectiveness":[168],"method.":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}