{"id":"https://openalex.org/W3037758547","doi":"https://doi.org/10.5220/0010293605650570","title":"Automated Detection of COVID-19 from CT Scans using Convolutional Neural Networks","display_name":"Automated Detection of COVID-19 from CT Scans using Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3037758547","doi":"https://doi.org/10.5220/0010293605650570","mag":"3037758547"},"language":"en","primary_location":{"id":"doi:10.5220/0010293605650570","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010293605650570","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0010293605650570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005629064","display_name":"Rohit Lokwani","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rohit Lokwani","raw_affiliation_strings":["DeepTek Inc., Pune, India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepTek Inc., Pune, India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109488672","display_name":"Ashrika Gaikwad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashrika Gaikwad","raw_affiliation_strings":["DeepTek Inc., Pune, India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepTek Inc., Pune, India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103261274","display_name":"Viraj Kulkarni","orcid":"https://orcid.org/0000-0001-8246-7234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viraj Kulkarni","raw_affiliation_strings":["DeepTek Inc., Pune, India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepTek Inc., Pune, India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anirudha Pant","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anirudha Pant","raw_affiliation_strings":["DeepTek Inc., Pune, India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepTek Inc., Pune, India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016796365","display_name":"Amit Kharat","orcid":"https://orcid.org/0000-0002-6891-2044"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Kharat","raw_affiliation_strings":["DeepTek Inc., Pune, India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepTek Inc., Pune, India, --- Select a Country ---","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005629064"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.557,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6471793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9926000237464905,"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/T10862","display_name":"AI in cancer detection","score":0.9911999702453613,"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/false-positive-paradox","display_name":"False positive paradox","score":0.7670984268188477},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7377482652664185},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6663142442703247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6105972528457642},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5326622724533081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5182728171348572},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.511116087436676},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.506604790687561},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4738369882106781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46216368675231934},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.42702311277389526},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4134519398212433},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.329863578081131},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.21326065063476562},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.18962877988815308},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.17814293503761292},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14595651626586914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08905348181724548}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7670984268188477},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7377482652664185},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6663142442703247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6105972528457642},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5326622724533081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5182728171348572},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.511116087436676},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.506604790687561},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4738369882106781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46216368675231934},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.42702311277389526},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4134519398212433},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.329863578081131},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.21326065063476562},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.18962877988815308},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.17814293503761292},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14595651626586914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08905348181724548},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5220/0010293605650570","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010293605650570","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.13212","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.13212","pdf_url":"https://arxiv.org/pdf/2006.13212","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3037758547","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2006.13212.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2006.13212","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.13212","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.5220/0010293605650570","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010293605650570","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1893701654","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2102634410","https://openalex.org/W2149933564","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2323929895","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2770241596","https://openalex.org/W2884436604","https://openalex.org/W2888397986","https://openalex.org/W2942265585","https://openalex.org/W2947263797","https://openalex.org/W2981630388","https://openalex.org/W3002108456","https://openalex.org/W3005879071","https://openalex.org/W3006110666","https://openalex.org/W3006495046","https://openalex.org/W3006627382","https://openalex.org/W3007497549","https://openalex.org/W3008985036","https://openalex.org/W3009156795","https://openalex.org/W3010313912","https://openalex.org/W3010902474","https://openalex.org/W3011041531","https://openalex.org/W3011149445","https://openalex.org/W3013515352","https://openalex.org/W3014337038","https://openalex.org/W3019119825","https://openalex.org/W3022608531","https://openalex.org/W3037538421","https://openalex.org/W3037810051","https://openalex.org/W3109495579"],"related_works":["https://openalex.org/W3185504789","https://openalex.org/W3208808661","https://openalex.org/W3163907050","https://openalex.org/W3201456375","https://openalex.org/W3193130655","https://openalex.org/W3108672867","https://openalex.org/W3041944094","https://openalex.org/W3166710094","https://openalex.org/W3168474540","https://openalex.org/W3028070348","https://openalex.org/W3094192541","https://openalex.org/W3162246427","https://openalex.org/W3106791009","https://openalex.org/W3164076406","https://openalex.org/W3159395977","https://openalex.org/W3168784174","https://openalex.org/W3190546449","https://openalex.org/W3205435018","https://openalex.org/W3102190365","https://openalex.org/W1891929162"],"abstract_inverted_index":{"COVID-19":[0,70],"is":[1,31],"an":[2],"infectious":[3],"disease":[4],"that":[5],"causes":[6],"respiratory":[7],"problems":[8],"similar":[9],"to":[10,47,65,93,146],"those":[11],"caused":[12],"by":[13,111],"SARS-CoV":[14],"(2003).":[15],"Currently,":[16],"swab":[17],"samples":[18],"are":[19],"being":[20],"used":[21,30],"for":[22,69,141],"its":[23],"diagnosis.":[24],"The":[25],"most":[26],"common":[27],"testing":[28],"method":[29,58],"the":[32,45,67,104,109,114,152],"RT-PCR":[33],"method,":[34],"which":[35,107,148],"has":[36,44],"high":[37],"specificity":[38,130],"but":[39],"variable":[40],"sensitivity.":[41],"AI-based":[42],"detection":[43],"capability":[46],"overcome":[48],"this":[49,52],"drawback.":[50],"In":[51],"paper,":[53],"we":[54,60,137],"propose":[55],"a":[56,74,89,99,121,129,139],"prospective":[57],"wherein":[59],"use":[61,73],"chest":[62],"CT":[63,82,86],"scans":[64,87],"diagnose":[66],"patients":[68],"pneumonia.":[71],"We":[72,97],"set":[75],"of":[76,116,123,131],"open-source":[77],"images,":[78],"available":[79],"as":[80],"individual":[81],"slices,":[83],"and":[84,128],"full":[85],"from":[88],"private":[90],"Indian":[91],"Hospital":[92],"train":[94],"our":[95,143],"model.":[96],"build":[98],"2D":[100],"segmentation":[101],"model":[102,119],"using":[103],"U-Net":[105],"architecture,":[106],"gives":[108],"output":[110],"marking":[112],"out":[113],"region":[115],"infection.":[117],"Our":[118],"achieves":[120],"sensitivity":[122],"96.428%":[124],"(95%":[125,133],"CI:":[126,134],"88%-100%)":[127],"88.39%":[132],"82%-94%).":[135],"Additionally,":[136],"derive":[138],"logic":[140],"converting":[142],"slice-level":[144],"predictions":[145],"scan-level,":[147],"helps":[149],"us":[150],"reduce":[151],"false":[153],"positives.":[154]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
