{"id":"https://openalex.org/W2012335131","doi":"https://doi.org/10.1117/12.2006832","title":"Content-based image retrieval for interstitial lung diseases using classification confidence","display_name":"Content-based image retrieval for interstitial lung diseases using classification confidence","publication_year":2013,"publication_date":"2013-02-28","ids":{"openalex":"https://openalex.org/W2012335131","doi":"https://doi.org/10.1117/12.2006832","mag":"2012335131"},"language":"en","primary_location":{"id":"doi:10.1117/12.2006832","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006832","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/A5033940920","display_name":"Jatindra Kumar Dash","orcid":"https://orcid.org/0000-0001-9067-8517"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jatindra Kumar Dash","raw_affiliation_strings":["Indian Institute of Technology Kharagpur (India)","Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur (India)","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047214385","display_name":"Sudipta Mukhopadhyay","orcid":"https://orcid.org/0000-0002-4719-2578"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudipta Mukhopadhyay","raw_affiliation_strings":["Indian Institute of Technology Kharagpur (India)","Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur (India)","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046733525","display_name":"Nidhi Prabhakar","orcid":"https://orcid.org/0000-0002-9537-0324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nidhi Prabhakar","raw_affiliation_strings":["Postgraduate Institute of Medical Education & Research (India)","Postgraduate Institute of Medical Education and Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate Institute of Medical Education & Research (India)","institution_ids":[]},{"raw_affiliation_string":"Postgraduate Institute of Medical Education and Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020957178","display_name":"Mandeep Garg","orcid":"https://orcid.org/0000-0002-4714-6299"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mandeep Garg","raw_affiliation_strings":["Postgraduate Institute of Medical Education & Research (India)","Postgraduate Institute of Medical Education and Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate Institute of Medical Education & Research (India)","institution_ids":[]},{"raw_affiliation_string":"Postgraduate Institute of Medical Education and Research, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081390575","display_name":"Niranjan Khandelwal","orcid":"https://orcid.org/0000-0002-8326-5164"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niranjan Khandelwal","raw_affiliation_strings":["Postgraduate Institute of Medical Education & Research (India)","Postgraduate Institute of Medical Education and Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate Institute of Medical Education & Research (India)","institution_ids":[]},{"raw_affiliation_string":"Postgraduate Institute of Medical Education and Research, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9339,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87739126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8670","issue":null,"first_page":"86702Y","last_page":"86702Y"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8758999705314636,"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":0.8758999705314636,"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/T14419","display_name":"Banking Systems and Strategies","score":0.7598999738693237,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734023094177246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495892405509949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6332277655601501},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6297961473464966},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.6285890936851501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6031155586242676},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4450148344039917},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.26366567611694336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19966024160385132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734023094177246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495892405509949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6332277655601501},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6297961473464966},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.6285890936851501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6031155586242676},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4450148344039917},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26366567611694336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19966024160385132}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2006832","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006832","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":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2044706866","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W3017331082"],"abstract_inverted_index":{"Content":[0],"Based":[1],"Image":[2],"Retrieval":[3],"(CBIR)":[4],"system":[5],"could":[6],"exploit":[7],"the":[8,18,110,122,137,140,169],"wealth":[9],"of":[10,33,40,62,78,102,114,119,121,139,177,183],"High-Resolution":[11],"Computed":[12],"Tomography":[13],"(HRCT)":[14],"data":[15],"stored":[16],"in":[17],"archive":[19],"by":[20],"finding":[21],"similar":[22],"images":[23,80],"to":[24,93,108,143],"assist":[25],"radiologists":[26],"for":[27,76,95,146],"self":[28],"learning":[29],"and":[30,158],"differential":[31],"diagnosis":[32],"Interstitial":[34],"Lung":[35],"Diseases":[36],"(ILDs).":[37],"HRCT":[38],"findings":[39],"ILDs":[41,63],"are":[42],"classified":[43],"into":[44],"several":[45],"categories":[46],"(e.g.":[47],"consolidation,":[48],"emphysema,":[49],"ground":[50],"glass,":[51],"nodular":[52],"etc.)":[53],"based":[54,157,161],"on":[55,136],"their":[56],"texture":[57,68,82,162],"like":[58],"appearances.":[59],"Therefore,":[60],"analysis":[61,69],"is":[64,125,151],"considered":[65],"as":[66,83],"a":[67,90,103,134],"problem.":[70],"Many":[71],"approaches":[72],"have":[73],"been":[74],"proposed":[75,98,149,170],"CBIR":[77,94],"lung":[79],"using":[81,127],"primitive":[84],"visual":[85],"content.":[86],"This":[87],"paper":[88],"presents":[89],"new":[91],"approach":[92,99,150],"ILDs.":[96],"The":[97,117,148],"makes":[100],"use":[101],"trained":[104],"neural":[105],"network":[106],"(NN)":[107],"find":[109],"output":[111],"class":[112],"label":[113],"query":[115],"image.":[116],"degree":[118],"confidence":[120],"NN":[123],"classifier":[124,130,160],"analyzed":[126],"Naive":[128],"Bayes":[129],"that":[131,168],"dynamically":[132],"takes":[133],"decision":[135],"size":[138],"search":[141],"space":[142],"be":[144],"used":[145],"retrieval.":[147],"compared":[152],"with":[153,179],"three":[154],"simple":[155],"distance":[156],"one":[159],"retrieval":[163],"approaches.":[164],"Experimental":[165],"results":[166],"show":[167],"technique":[171],"achieved":[172],"highest":[173],"average":[174],"percentage":[175],"precision":[176],"92.60%":[178],"lowest":[180],"standard":[181],"deviation":[182],"20.82%.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}