{"id":"https://openalex.org/W2022201514","doi":"https://doi.org/10.1109/icmlc.2010.5580711","title":"X-ray image classification using Random Forests with Local Binary Patterns","display_name":"X-ray image classification using Random Forests with Local Binary Patterns","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2022201514","doi":"https://doi.org/10.1109/icmlc.2010.5580711","mag":"2022201514"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5100769346","display_name":"Seong\u2010Hoon Kim","orcid":"https://orcid.org/0000-0003-3244-4266"},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Hoon Kim","raw_affiliation_strings":["Department of computer engineering, Keimyung University, Daegu, South Korea","Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Daegu, South Korea","institution_ids":["https://openalex.org/I52010207"]},{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea","institution_ids":["https://openalex.org/I52010207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413485","display_name":"Ji\u2010Hyun Lee","orcid":"https://orcid.org/0000-0001-6420-5150"},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Hyun Lee","raw_affiliation_strings":["Department of computer engineering, Keimyung University, Daegu, South Korea","Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Daegu, South Korea","institution_ids":["https://openalex.org/I52010207"]},{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea","institution_ids":["https://openalex.org/I52010207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035256239","display_name":"Byoung Chul Ko","orcid":"https://orcid.org/0000-0002-7284-0768"},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byoungchul Ko","raw_affiliation_strings":["Department of computer engineering, Keimyung University, Daegu, South Korea","Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Daegu, South Korea","institution_ids":["https://openalex.org/I52010207"]},{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea","institution_ids":["https://openalex.org/I52010207"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108553716","display_name":"Jae-Yeal Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Yeal Nam","raw_affiliation_strings":["Department of computer engineering, Keimyung University, Daegu, South Korea","Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Daegu, South Korea","institution_ids":["https://openalex.org/I52010207"]},{"raw_affiliation_string":"Department of computer engineering, Keimyung University, Dalseo-gu, Daegu, Korea","institution_ids":["https://openalex.org/I52010207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52010207"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3190","last_page":"3194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9933000206947327,"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/T10862","display_name":"AI in cancer detection","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8549814224243164},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8209093809127808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7503228783607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365960478782654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706449568271637},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6517889499664307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.623082160949707},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6117872595787048},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5958433151245117},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4505305290222168},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44579365849494934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44495052099227905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3984071612358093},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25196772813796997},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1750333309173584},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17142432928085327}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8549814224243164},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8209093809127808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7503228783607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365960478782654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706449568271637},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6517889499664307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.623082160949707},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6117872595787048},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5958433151245117},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4505305290222168},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44579365849494934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44495052099227905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3984071612358093},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25196772813796997},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1750333309173584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17142432928085327},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321640","display_name":"Ministry of Knowledge Economy","ror":"https://ror.org/008nkqk13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1992682239","https://openalex.org/W2020018365","https://openalex.org/W2094794667","https://openalex.org/W2117762415","https://openalex.org/W2163352848","https://openalex.org/W2169182553","https://openalex.org/W2397171019","https://openalex.org/W2911964244","https://openalex.org/W6677687098","https://openalex.org/W6685177496","https://openalex.org/W6712142115"],"related_works":["https://openalex.org/W3204374377","https://openalex.org/W1823469724","https://openalex.org/W2373150368","https://openalex.org/W2151854763","https://openalex.org/W2783118371","https://openalex.org/W2766950897","https://openalex.org/W2074219825","https://openalex.org/W2134401318","https://openalex.org/W1555506570","https://openalex.org/W2910954186"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"algorithm":[5],"for":[6,20,41,82],"the":[7,15,22,69,74,80],"efficient":[8,38],"classification":[9,49],"of":[10,24],"X-ray":[11,25],"images":[12],"to":[13],"enhance":[14],"accuracy":[16],"and":[17,37,47,67],"performance.":[18],"As":[19],"describing":[21],"characteristics":[23],"image,":[26],"new":[27],"Local":[28],"Binary":[29],"Patterns":[30],"(LBP)":[31],"is":[32,54,60],"employed":[33],"that":[34,53,73],"allows":[35],"simple":[36],"feature":[39,65],"extraction":[40],"texture":[42],"information.":[43],"To":[44],"achieve":[45],"fast":[46],"accurate":[48],"task,":[50],"Random":[51],"Forests":[52],"decision":[55],"tree":[56],"based":[57],"ensemble":[58],"classifier":[59],"applied.":[61],"Comparing":[62],"with":[63],"other":[64],"descriptors":[66],"classifiers,":[68],"testing":[70],"results":[71],"show":[72],"proposed":[75],"method":[76],"improves":[77],"accuracy,":[78],"especially":[79],"speed":[81],"either":[83],"training":[84],"or":[85],"testing.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
