{"id":"https://openalex.org/W2121591402","doi":"https://doi.org/10.1109/jbhi.2014.2327811","title":"Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization","display_name":"Recognizing Common CT Imaging Signs of Lung Diseases Through a New Feature Selection Method Based on Fisher Criterion and Genetic Optimization","publication_year":2014,"publication_date":"2014-06-02","ids":{"openalex":"https://openalex.org/W2121591402","doi":"https://doi.org/10.1109/jbhi.2014.2327811","mag":"2121591402","pmid":"https://pubmed.ncbi.nlm.nih.gov/25486652"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2014.2327811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2014.2327811","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5085061478","display_name":"Xiabi Liu","orcid":"https://orcid.org/0000-0003-1633-0648"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiabi Liu","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065744005","display_name":"Ling Ma","orcid":"https://orcid.org/0000-0002-4352-5697"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Ma","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682032","display_name":"Li Song","orcid":"https://orcid.org/0000-0001-5381-9712"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210092299","display_name":"Qihoo 360 (China)","ror":"https://ror.org/00p4rkj69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210092299"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Qihoo 360 Technology Co. Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Qihoo 360 Technology Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210092299"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050496811","display_name":"Yanfeng Zhao","orcid":"https://orcid.org/0000-0001-6606-9535"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Zhao","raw_affiliation_strings":["Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675041","display_name":"Xinming Zhao","orcid":"https://orcid.org/0000-0002-3976-111X"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinming Zhao","raw_affiliation_strings":["Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081603038","display_name":"Chunwu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwu Zhou","raw_affiliation_strings":["Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Diagnosis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.219,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.91351685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"2","first_page":"635","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative 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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9624000191688538,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8165628910064697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7952829003334045},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7235057950019836},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6661193370819092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5813388228416443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5456954836845398},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5206736326217651},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.516546905040741},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5158911943435669},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47539007663726807},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44319888949394226},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4248952567577362},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4141429364681244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10854914784431458}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8165628910064697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7952829003334045},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7235057950019836},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6661193370819092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5813388228416443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5456954836845398},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5206736326217651},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.516546905040741},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5158911943435669},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47539007663726807},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44319888949394226},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4248952567577362},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4141429364681244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10854914784431458},{"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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2014.2327811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2014.2327811","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:25486652","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25486652","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3100202562","display_name":null,"funder_award_id":"60973059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G748140177","display_name":null,"funder_award_id":"NCET-10-0044","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G811793916","display_name":null,"funder_award_id":"81171407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W10304599","https://openalex.org/W284344164","https://openalex.org/W1483820484","https://openalex.org/W1512914285","https://openalex.org/W1544303972","https://openalex.org/W1562691650","https://openalex.org/W1566376227","https://openalex.org/W1566557568","https://openalex.org/W1568834902","https://openalex.org/W1570186348","https://openalex.org/W1875058306","https://openalex.org/W1951726892","https://openalex.org/W1968197706","https://openalex.org/W1970378963","https://openalex.org/W1971076990","https://openalex.org/W1981546657","https://openalex.org/W1985990893","https://openalex.org/W1989150662","https://openalex.org/W1991769983","https://openalex.org/W1991821747","https://openalex.org/W2005992530","https://openalex.org/W2012253355","https://openalex.org/W2015367091","https://openalex.org/W2020721704","https://openalex.org/W2036718463","https://openalex.org/W2039051707","https://openalex.org/W2051688137","https://openalex.org/W2053817759","https://openalex.org/W2054270827","https://openalex.org/W2073221050","https://openalex.org/W2074756078","https://openalex.org/W2077174186","https://openalex.org/W2078464941","https://openalex.org/W2083649421","https://openalex.org/W2085652537","https://openalex.org/W2088629085","https://openalex.org/W2092895049","https://openalex.org/W2094518511","https://openalex.org/W2095334503","https://openalex.org/W2107170489","https://openalex.org/W2107806345","https://openalex.org/W2112063803","https://openalex.org/W2112295276","https://openalex.org/W2119387367","https://openalex.org/W2129403502","https://openalex.org/W2134975236","https://openalex.org/W2138257718","https://openalex.org/W2139406620","https://openalex.org/W2145918396","https://openalex.org/W2151227257","https://openalex.org/W2154997843","https://openalex.org/W2159866604","https://openalex.org/W2161326860","https://openalex.org/W2161969291","https://openalex.org/W2167466549","https://openalex.org/W2171220802","https://openalex.org/W2319352096","https://openalex.org/W2337094500","https://openalex.org/W2998216295","https://openalex.org/W3099014884","https://openalex.org/W4230375458","https://openalex.org/W4234961057","https://openalex.org/W4285719527","https://openalex.org/W6600422511","https://openalex.org/W6610181321","https://openalex.org/W6639453387","https://openalex.org/W6663987126","https://openalex.org/W6679174781","https://openalex.org/W6703753421","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4224879220","https://openalex.org/W2046724945","https://openalex.org/W2999130902","https://openalex.org/W4387382336","https://openalex.org/W3211626993","https://openalex.org/W1983936910","https://openalex.org/W2507467930","https://openalex.org/W4281681299","https://openalex.org/W4315797013","https://openalex.org/W2904398182"],"abstract_inverted_index":{"Common":[0],"CT":[1,19,130,171,206],"imaging":[2,12],"signs":[3,13],"of":[4,30,109,117,140,166,199,227,235,264],"lung":[5,18,31,170,205],"diseases":[6],"(CISLs)":[7],"are":[8,268],"defined":[9],"as":[10],"the":[11,28,54,64,90,95,100,103,115,120,124,129,134,164,174,181,192,210,217,224,244],"that":[14],"frequently":[15],"appear":[16],"in":[17,27,169],"images":[20,172],"from":[21,89,106,203],"patients":[22],"and":[23,45,128,159,186,253,262],"play":[24],"important":[25],"roles":[26],"diagnosis":[29],"diseases.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36,76,197],"new":[37],"feature":[38,61,71,87,183,245],"selection":[39,62,184,246],"method":[40,97,185,215,242,247],"based":[41,73,113,248],"on":[42,74,114,196,249,259],"FIsher":[43],"criterion":[44,66],"genetic":[46,77,254],"optimization,":[47],"called":[48],"FIG":[49,60,96,214,241,265],"for":[50,102],"short,":[51],"to":[52,69,82,98,162,179],"tackle":[53],"CISL":[55,104,175,187],"recognition":[56,105,188,219],"problem.":[57],"In":[58,177],"our":[59,213,240],"method,":[63],"Fisher":[65],"is":[67,80],"applied":[68],"evaluate":[70,180],"subsets,":[72],"which":[75],"optimization":[78,255],"algorithm":[79],"developed":[81],"find":[83],"out":[84],"an":[85],"optimal":[86],"subset":[88],"candidate":[91],"features.":[92,236],"We":[93,237],"use":[94],"select":[99],"features":[101,136,229],"various":[107],"types":[108],"features,":[110,123],"including":[111,145],"bag-of-visual-words":[112],"histogram":[116],"oriented":[118],"gradients,":[119],"wavelet":[121],"transform-based":[122],"local":[125],"binary":[126],"pattern,":[127],"value":[131],"histogram.":[132],"Then,":[133],"selected":[135],"cooperate":[137],"with":[138,243],"each":[139],"five":[141],"commonly":[142],"used":[143],"classifiers":[144],"support":[146],"vector":[147],"machine":[148],"(SVM),":[149],"Bagging":[150],"(Bag),":[151],"Na\u00efve":[152],"Bayes":[153],"(NB),":[154],"k":[155],"-nearest":[156],"neighbor":[157],"(k-NN),":[158],"AdaBoost":[160],"(Ada)":[161],"classify":[163],"regions":[165],"interests":[167],"(ROIs)":[168],"into":[173],"categories.":[176],"order":[178],"proposed":[182],"approach,":[189],"we":[190],"conducted":[191],"fivefold":[193],"cross-validation":[194],"experiments":[195],"set":[198,226],"511":[200],"ROIs":[201],"captured":[202],"real":[204],"images.":[207],"For":[208],"all":[209],"considered":[211],"classifiers,":[212],"brought":[216],"better":[218],"performance":[220],"than":[221],"not":[222],"only":[223],"full":[225],"original":[228],"but":[230],"also":[231],"any":[232],"single":[233],"type":[234],"further":[238],"compared":[239],"classification":[250],"accuracy":[251],"rate":[252],"(ARG).":[256],"The":[257],"advantages":[258],"computation":[260],"effectiveness":[261],"efficiency":[263],"over":[266],"ARG":[267],"shown":[269],"through":[270],"experiments.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
