乐胖代购免代理版

{"id":"https://openalex.org/W1993688066","doi":"https://doi.org/10.1117/12.811439","title":"Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT","display_name":"Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT","publication_year":2009,"publication_date":"2009-02-26","ids":{"openalex":"https://openalex.org/W1993688066","doi":"https://doi.org/10.1117/12.811439","mag":"1993688066"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.811439","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5084081275","display_name":"Young Ju Lee","orcid":"https://orcid.org/0000-0001-5294-7368"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjoo Lee","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# Seoul National University, Korea, Republic of#N##TAB##TAB##TAB#"],"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Seoul National University, Korea, Republic of#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004946653","display_name":"Namkug Kim","orcid":"https://orcid.org/0000-0002-3438-2217"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Namkug Kim","raw_affiliation_strings":["University of Utah (United States)"],"affiliations":[{"raw_affiliation_string":"University of Utah (United States)","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006695326","display_name":"Joon Beom Seo","orcid":"https://orcid.org/0000-0003-0271-7884"},"institutions":[{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon Beom Seo","raw_affiliation_strings":["Asan Medical Ctr. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Asan Medical Ctr. (Korea, Republic of)","institution_ids":["https://openalex.org/I2801680663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109978685","display_name":"Sang Ok Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang Ok Park","raw_affiliation_strings":["Asan Medical Ctr. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Asan Medical Ctr. (Korea, Republic of)","institution_ids":["https://openalex.org/I2801680663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727931","display_name":"Young Lee","orcid":"https://orcid.org/0000-0002-9868-1881"},"institutions":[{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Kyung Lee","raw_affiliation_strings":["Asan Medical Ctr. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Asan Medical Ctr. (Korea, Republic of)","institution_ids":["https://openalex.org/I2801680663"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110552329","display_name":"Suk Ho Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suk Ho Kang","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# Seoul National University, Korea, Republic of#N##TAB##TAB##TAB#"],"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Seoul National University, Korea, Republic of#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I139264467"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":"7260","issue":null,"first_page":"72603A","last_page":"72603A"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.968,"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":0.968,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9622,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.582754},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4913043},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4217679}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.74714416},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.72867775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70592797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6888485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646183},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6470766},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6099163},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.582754},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.57329094},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4913043},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4217679},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3353719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.071985275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06808129},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.811439","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1493293627","https://openalex.org/W1595438055","https://openalex.org/W1885541642","https://openalex.org/W196871588","https://openalex.org/W1983188312","https://openalex.org/W2001392867","https://openalex.org/W2011039300","https://openalex.org/W2014915963","https://openalex.org/W2015853228","https://openalex.org/W2026535637","https://openalex.org/W2044465660","https://openalex.org/W2054714548","https://openalex.org/W2086105763","https://openalex.org/W2096872431","https://openalex.org/W2097967914","https://openalex.org/W2098057602","https://openalex.org/W2098925613","https://openalex.org/W2104775919","https://openalex.org/W2119387367","https://openalex.org/W2136236240","https://openalex.org/W2156794869","https://openalex.org/W2160141917","https://openalex.org/W2160794449","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4205493345","https://openalex.org/W2974328778","https://openalex.org/W2804627982","https://openalex.org/W2310826128","https://openalex.org/W2249970211","https://openalex.org/W2196068029","https://openalex.org/W2021546954","https://openalex.org/W2016342027","https://openalex.org/W2001679188","https://openalex.org/W1975547468"],"abstract_inverted_index":{"In":[0,41,146],"this":[1],"paper,":[2],"a":[3,169],"cascade":[4,21,36,111,185],"classification":[5,22,84,101,112,122,180,186,200],"scheme":[6,23,113,187],"was":[7,85,131,144,153,161],"proposed":[8,110,184],"to":[9,58,67,91],"improve":[10],"computational":[11,119,151,191],"efficiency":[12],"in":[13,17,116,168,178,193],"lung":[14],"parenchyma":[15],"quantification":[16],"HRCT":[18],"images.":[19],"Proposed":[20],"includes":[24],"four":[25],"steps:":[26],"cost-based":[27],"class-specific":[28,31],"feature":[29,37,45,98,195],"selection,":[30],"classifier":[32,34],"training,":[33],"ordering,":[35],"extraction":[38,59,99,196],"and":[39,100,121,137,157],"classification.":[40],"the":[42,81,88,109,135,140,147,150,158,183,190,194,199],"first":[43],"step,":[44],"sets":[46],"were":[47,65,102],"determined":[48],"by":[49,155],"sequential":[50],"forward":[51],"floating":[52],"selection":[53],"(SFFS)":[54],"using":[55,108,182],"performance":[56,136],"improvement":[57],"cost":[60,120,152,192],"ratio":[61],"criterion.":[62],"Then":[63],"classifiers":[64],"trained":[66],"classify":[68],"specific":[69],"class":[70],"from":[71,87],"all":[72],"of":[73,78,83,107,118,139,171],"other":[74],"classes.":[75],"Using":[76],"accuracies":[77],"those":[79],"classifiers,":[80],"order":[82],"determined;":[86],"highest":[89],"accuracy":[90,160],"lowest":[92],"accuracy.":[93,123,201],"To":[94,133],"quantify":[95],"new":[96],"images,":[97],"sequentially":[103],"repeated.":[104],"The":[105],"impact":[106],"is":[114,164],"evaluated":[115],"terms":[117],"For":[124],"automated":[125],"classification,":[126],"support":[127],"vector":[128],"machine":[129],"(SVM)":[130],"implemented.":[132],"assess":[134],"crossvalidation":[138],"system,":[141],"ten-folding":[142],"method":[143],"used.":[145],"experimental":[148],"results,":[149],"reduced":[154],"46%":[156],"overall":[159],"92.04%":[162],"which":[163],"not":[165],"significantly":[166],"different":[167],"comparison":[170],"conventional":[172],"method.":[173],"This":[174],"work":[175],"shows":[176],"that,":[177],"our":[179],"problem,":[181],"can":[188],"reduce":[189],"while":[197],"maintaining":[198]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1993688066","counts_by_year":[],"updated_date":"2025-01-19T22:38:02.480471","created_date":"2016-06-24"}