{"id":"https://openalex.org/W4313451412","doi":"https://doi.org/10.1109/iccr56254.2022.9996067","title":"Retracted: Improved Accuracy in Automatic Detection of Tuberculosis Disease from Lung CT images using Support Vector Machine Classifier over K-Nearest Neighbours Classifier","display_name":"Retracted: Improved Accuracy in Automatic Detection of Tuberculosis Disease from Lung CT images using Support Vector Machine Classifier over K-Nearest Neighbours Classifier","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313451412","doi":"https://doi.org/10.1109/iccr56254.2022.9996067"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9996067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996067","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","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/A5002744245","display_name":"Tishya Shakya","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tishya Shakya","raw_affiliation_strings":["Department of Computer Science and Engineering name of organization (of Aff.),City,Country","Department of Computer Science and Engineering name of organization (of Aff.), City, Country"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering name of organization (of Aff.),City,Country","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering name of organization (of Aff.), City, Country","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073022741","display_name":"R. Beaulah Jeyavathana","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Beaulah Jeyavathana","raw_affiliation_strings":["Saveetha University,Department of Computer Science and Engineering,Chennai,India","Department of Computer Science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104103932","display_name":"P. Kiran Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Kiran Kumar","raw_affiliation_strings":["Saveetha University,Department of Computer Science and Engineering,Chennai,India","Department of Computer Science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002744245"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8935,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78670858,"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":"1","last_page":"5"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9958999752998352,"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/T10862","display_name":"AI in cancer detection","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8139775991439819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7474608421325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6957659721374512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129159927368164},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.601542592048645},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.48923206329345703}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8139775991439819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7474608421325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6957659721374512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129159927368164},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.601542592048645},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.48923206329345703}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9996067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996067","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1500949380","https://openalex.org/W1568858924","https://openalex.org/W1577427465","https://openalex.org/W1673613841","https://openalex.org/W2000990531","https://openalex.org/W2015103117","https://openalex.org/W2050508159","https://openalex.org/W2070457379","https://openalex.org/W2082340261","https://openalex.org/W2142354813","https://openalex.org/W2154989454","https://openalex.org/W2184906494","https://openalex.org/W2291382228","https://openalex.org/W2295030460","https://openalex.org/W2315285035","https://openalex.org/W2327422911","https://openalex.org/W2393830291","https://openalex.org/W2398524696","https://openalex.org/W2403959492","https://openalex.org/W2613712045","https://openalex.org/W2801163410","https://openalex.org/W2915876222","https://openalex.org/W2949985398","https://openalex.org/W2964673972","https://openalex.org/W2966457663","https://openalex.org/W2969273852","https://openalex.org/W2985536857","https://openalex.org/W3003421198","https://openalex.org/W3004245667","https://openalex.org/W3010458811","https://openalex.org/W3014625307","https://openalex.org/W3015108436","https://openalex.org/W3024479384","https://openalex.org/W3027872128","https://openalex.org/W3029903276","https://openalex.org/W3038830664","https://openalex.org/W3040858448","https://openalex.org/W3099174386","https://openalex.org/W3134184177","https://openalex.org/W3195318676","https://openalex.org/W3205520011","https://openalex.org/W4212924424","https://openalex.org/W4220809536","https://openalex.org/W4224050562","https://openalex.org/W4234671183","https://openalex.org/W6713032761"],"related_works":["https://openalex.org/W2384390720","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2297694731","https://openalex.org/W4253128984","https://openalex.org/W2539940072","https://openalex.org/W2392574027","https://openalex.org/W206493657","https://openalex.org/W1964081096","https://openalex.org/W2122277321"],"abstract_inverted_index":{"To":[0],"improve":[1],"accuracy":[2,64,76,106],"in":[3,91],"automatic":[4],"detection":[5],"of":[6,23,27,65,77,82,100],"Tuberculosis":[7,28],"(TB)":[8],"disease":[9],"from":[10],"Lung":[11],"CT":[12,19],"images.":[13,25],"The":[14,52,79],"dataset":[15],"used":[16],"is":[17,29,67,89],"Chest":[18],"scan":[20],"images":[21],"consisting":[22],"1000":[24],"Detection":[26],"done":[30],"by":[31],"the":[32,57,92,98],"Support":[33,58],"Vector":[34,59],"Machine":[35,60],"Classifier":[36],"(N=10)":[37],"and":[38],"KNN":[39],"classifier.":[40],"During":[41],"testing,":[42],"10":[43],"iterations":[44],"have":[45],"been":[46],"taken":[47],"for":[48],"each":[49],"classification":[50],"algorithm.":[51],"experimental":[53],"results":[54],"show":[55],"that":[56],"algorithm":[61,73],"with":[62,69,74],"mean":[63,75],"94.17%":[66],"compared":[68],"K":[70],"Nearest":[71],"Neigh-bour":[72],"89.84%.":[78],"statistical":[80],"significance":[81],"two":[83],"algorithms":[84],"sig":[85],"(2-tailed)":[86],"p-value":[87],"observed":[88],"0.00":[90],"independent":[93],"sample":[94],"t":[95],"test.":[96],"Within":[97],"limitations":[99],"this":[101],"study":[102],"SVM":[103],"has":[104],"better":[105],"than":[107],"KNN.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-06T00:00:00"}