{"id":"https://openalex.org/W2023257800","doi":"https://doi.org/10.1109/bhi.2012.6211626","title":"Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms","display_name":"Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2023257800","doi":"https://doi.org/10.1109/bhi.2012.6211626","mag":"2023257800"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2012.6211626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2012.6211626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics","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/A5030344955","display_name":"Jae Young Choi","orcid":"https://orcid.org/0000-0002-3438-8248"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Young Choi","raw_affiliation_strings":["Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.7805,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68948682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962999820709229,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.928665041923523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7139071226119995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7034575343132019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5577250719070435},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5542725324630737},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.553757905960083},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5319697260856628},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5310407280921936},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5126120448112488},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4550517499446869},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4342888593673706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42576727271080017},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4239957332611084},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.23969954252243042},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.19104912877082825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17574366927146912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09539872407913208},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.08206292986869812},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07520672678947449},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06739306449890137}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.928665041923523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7139071226119995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7034575343132019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5577250719070435},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5542725324630737},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.553757905960083},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5319697260856628},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5310407280921936},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5126120448112488},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4550517499446869},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4342888593673706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42576727271080017},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4239957332611084},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.23969954252243042},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19104912877082825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17574366927146912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09539872407913208},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.08206292986869812},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07520672678947449},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06739306449890137},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2012.6211626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2012.6211626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W382048121","https://openalex.org/W1988452762","https://openalex.org/W2038037430","https://openalex.org/W2059331675","https://openalex.org/W2109597745","https://openalex.org/W2113115183","https://openalex.org/W2119479037","https://openalex.org/W2143426320","https://openalex.org/W2149152304","https://openalex.org/W2163352848","https://openalex.org/W2524072161","https://openalex.org/W4285719527","https://openalex.org/W6607184829"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W3204374377","https://openalex.org/W1823469724","https://openalex.org/W2373150368","https://openalex.org/W2151854763","https://openalex.org/W2783118371","https://openalex.org/W2766950897"],"abstract_inverted_index":{"In":[0],"this":[1,43],"paper,":[2],"we":[3],"propose":[4],"new":[5],"texture":[6,25,33,91],"features,":[7],"so-called":[8],"multiresolution":[9,89,103,127],"local":[10],"binary":[11],"pattern":[12],"(LBP),":[13],"for":[14,81,134],"classifying":[15],"breast":[16],"masses":[17,137],"and":[18,39,55,94,138],"normal":[19,139],"tissue":[20,140],"on":[21,113,141],"mammograms.":[22,142],"The":[23],"proposed":[24],"features":[26,105,129],"are":[27,49],"able":[28],"to":[29,70,100],"well":[30],"characterize":[31],"the":[32,52,56,122],"patterns":[34,48],"of":[35,59,61,86,88,124,136],"mass":[36,64],"core":[37,53],"region":[38,54,58],"its":[40],"margin.":[41],"To":[42],"end,":[44],"two":[45],"individual":[46],"LBP":[47,90,104,128],"extracted":[50],"from":[51],"ribbon":[57],"pixels":[60],"a":[62],"given":[63],"region,":[65],"respectively.":[66],"Further,":[67],"in":[68,106],"order":[69],"improve":[71],"classification":[72,135],"accuracy,":[73],"SVM-RFE":[74,109],"based":[75,110],"variable":[76,111,131],"selection":[77,112,132],"solution":[78],"is":[79],"applied":[80],"selecting":[82],"an":[83],"optimal":[84],"subset":[85],"variables":[87],"features.":[92],"Extensive":[93],"comparative":[95],"experiments":[96],"have":[97],"been":[98],"conducted":[99],"evaluate":[101],"our":[102,126],"conjunction":[107],"with":[108,130],"public":[114],"benchmark":[115],"mammogram":[116],"data":[117],"set.":[118],"Our":[119],"results":[120],"demonstrate":[121],"feasibility":[123],"combining":[125],"strategy":[133]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}