{"id":"https://openalex.org/W2002471533","doi":"https://doi.org/10.1117/12.2044162","title":"Lung texture classification using bag of visual words","display_name":"Lung texture classification using bag of visual words","publication_year":2014,"publication_date":"2014-03-18","ids":{"openalex":"https://openalex.org/W2002471533","doi":"https://doi.org/10.1117/12.2044162","mag":"2002471533"},"language":"en","primary_location":{"id":"doi:10.1117/12.2044162","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2044162","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"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/A5057120333","display_name":"Marina Asherov","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Marina Asherov","raw_affiliation_strings":["Tel-Aviv Univ. (Israel)"],"affiliations":[{"raw_affiliation_string":"Tel-Aviv Univ. (Israel)","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076701438","display_name":"Idit Diamant","orcid":"https://orcid.org/0000-0001-5942-974X"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Idit Diamant","raw_affiliation_strings":["Tel-Aviv Univ. (Israel)"],"affiliations":[{"raw_affiliation_string":"Tel-Aviv Univ. (Israel)","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078473649","display_name":"Hayit Greenspan","orcid":"https://orcid.org/0000-0001-6908-7552"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hayit Greenspan","raw_affiliation_strings":["Tel-Aviv Univ. (Israel)"],"affiliations":[{"raw_affiliation_string":"Tel-Aviv Univ. (Israel)","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057120333"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":2.8631,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9174176,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9035","issue":null,"first_page":"90352K","last_page":"90352K"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9771000146865845,"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":0.9771000146865845,"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":0.9542999863624573,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9459999799728394,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7191718220710754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6930224895477295},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6734830141067505},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5713894367218018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5608131885528564},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5053043961524963},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49939966201782227},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4902835190296173},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.4880196154117584},{"id":"https://openalex.org/keywords/high-resolution-computed-tomography","display_name":"High-resolution computed tomography","score":0.42736124992370605},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41183096170425415},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.3508144021034241},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3338066339492798},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24445053935050964},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.20571163296699524},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.18806302547454834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07957497239112854}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7191718220710754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930224895477295},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6734830141067505},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5713894367218018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5608131885528564},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5053043961524963},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49939966201782227},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4902835190296173},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4880196154117584},{"id":"https://openalex.org/C2777524225","wikidata":"https://www.wikidata.org/wiki/Q4230125","display_name":"High-resolution computed tomography","level":3,"score":0.42736124992370605},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41183096170425415},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3508144021034241},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3338066339492798},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24445053935050964},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.20571163296699524},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.18806302547454834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07957497239112854},{"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:10.1117/12.2044162","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2044162","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":22,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1963992536","https://openalex.org/W1975020933","https://openalex.org/W1978070069","https://openalex.org/W2011873591","https://openalex.org/W2099707769","https://openalex.org/W2110290656","https://openalex.org/W2133145320","https://openalex.org/W2138346322","https://openalex.org/W2153364064","https://openalex.org/W2155662634","https://openalex.org/W2200277099","https://openalex.org/W2289526789","https://openalex.org/W2395422030","https://openalex.org/W4213009331","https://openalex.org/W4241259345","https://openalex.org/W4249475255","https://openalex.org/W4285719527","https://openalex.org/W6641272761","https://openalex.org/W6679859549","https://openalex.org/W6696738975","https://openalex.org/W6712359574"],"related_works":["https://openalex.org/W2761785940","https://openalex.org/W2129933262","https://openalex.org/W2541918088","https://openalex.org/W2897900823","https://openalex.org/W3003905580","https://openalex.org/W1999931200","https://openalex.org/W2922043582","https://openalex.org/W2744582969","https://openalex.org/W2161113776","https://openalex.org/W2575655639"],"abstract_inverted_index":{"Interstitial":[0],"lung":[1,13,32,58,123,131],"diseases":[2],"(ILD)":[3],"refer":[4],"to":[5,78,182],"a":[6,42,88,103,136,158,168],"group":[7],"of":[8,25,30,52,57,60,74,84,90,105,160],"more":[9],"than":[10],"150":[11],"parenchymal":[12],"disorders.":[14],"High-Resolution":[15],"Computed":[16],"Tomography":[17],"(HRCT)":[18],"is":[19,38,77,118,128,143,174,180],"the":[20,50,75,154],"most":[21,54],"essential":[22],"imaging":[23],"modality":[24],"ILD":[26,37,61],"diagnosis.":[27],"Nonetheless,":[28],"classification":[29,51,142,177],"various":[31],"tissue":[33],"patterns":[34],"caused":[35],"by":[36,135],"still":[39],"regarded":[40],"as":[41,110],"challenging":[43],"task.":[44],"The":[45,72,95,126,141],"current":[46],"study":[47],"focuses":[48],"on":[49],"five":[53],"common":[55],"categories":[56],"tissues":[59],"in":[62],"HRCT":[63],"images:":[64],"normal,":[65],"emphysema,":[66],"ground":[67],"glass,":[68],"fibrosis":[69],"and":[70,102],"micronodules.":[71],"objective":[73],"research":[76],"classify":[79],"an":[80,146],"expert-given":[81],"annotated":[82],"region":[83],"interest":[85],"(AROI)":[86],"using":[87,145,167],"bag":[89],"visual":[91,111,138],"words":[92],"(BoVW)":[93],"framework.":[94],"images":[96],"are":[97,108,133],"divided":[98],"into":[99],"small":[100],"patches":[101,107],"collection":[104],"representative":[106],"defined":[109],"words.":[112],"This":[113],"procedure,":[114],"termed":[115],"dictionary":[116],"construction,":[117],"performed":[119,144],"for":[120],"each":[121],"individual":[122],"texture":[124],"category.":[125],"assumption":[127],"that":[129],"different":[130,137],"textures":[132],"represented":[134],"word":[139],"distribution.":[140],"SVM":[147],"classifier":[148],"with":[149],"histogram":[150],"intersection":[151],"kernel.":[152],"In":[153],"experiments,":[155],"we":[156],"use":[157],"dataset":[159],"1018":[161],"AROIs":[162],"from":[163],"95":[164],"patients.":[165],"Classification":[166],"leave-one-patient-out":[169],"cross":[170],"validation":[171],"(LOPO":[172],"CV)":[173],"used.":[175],"Current":[176],"accuracy":[178],"obtained":[179],"close":[181],"80%.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
