{"id":"https://openalex.org/W2884509121","doi":"https://doi.org/10.1109/snams.2018.8554904","title":"Clearing Noisy Annotations for Computed Tomography Imaging","display_name":"Clearing Noisy Annotations for Computed Tomography Imaging","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2884509121","doi":"https://doi.org/10.1109/snams.2018.8554904","mag":"2884509121"},"language":"en","primary_location":{"id":"doi:10.1109/snams.2018.8554904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2018.8554904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.09151","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032576173","display_name":"Roman Khudorozhkov","orcid":"https://orcid.org/0000-0002-1229-9973"},"institutions":[{"id":"https://openalex.org/I4210152328","display_name":"Yandex School of Data Analysis","ror":"https://ror.org/051kay419","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210152328"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Roman Khudorozhkov","raw_affiliation_strings":["Data Analysis Center Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Data Analysis Center Moscow, Russia","institution_ids":["https://openalex.org/I4210152328"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aleksandr Koriagin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152328","display_name":"Yandex School of Data Analysis","ror":"https://ror.org/051kay419","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210152328"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Koriagin","raw_affiliation_strings":["Data Analysis Center Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Data Analysis Center Moscow, Russia","institution_ids":["https://openalex.org/I4210152328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011714475","display_name":"Alexey Kozhevin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152328","display_name":"Yandex School of Data Analysis","ror":"https://ror.org/051kay419","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210152328"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Kozhevin","raw_affiliation_strings":["Data Analysis Center Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Data Analysis Center Moscow, Russia","institution_ids":["https://openalex.org/I4210152328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032576173"],"corresponding_institution_ids":["https://openalex.org/I4210152328"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11162623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987000226974487,"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":0.9987000226974487,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9975000023841858,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8276772499084473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6815717220306396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6558689475059509},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6533172130584717},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5874612927436829},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4898087680339813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4658547043800354},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.46244508028030396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4369582533836365},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.42595940828323364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3338354825973511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09764271974563599},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0675041675567627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05787724256515503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276772499084473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6815717220306396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6558689475059509},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6533172130584717},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5874612927436829},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4898087680339813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4658547043800354},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.46244508028030396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4369582533836365},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.42595940828323364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3338354825973511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09764271974563599},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0675041675567627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05787724256515503},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/snams.2018.8554904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2018.8554904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1807.09151","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.09151","pdf_url":"https://arxiv.org/pdf/1807.09151","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":"","raw_type":"text"},{"id":"mag:2884509121","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1807.09151.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.1807.09151","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.09151","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":"pmh:oai:arXiv.org:1807.09151","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.09151","pdf_url":"https://arxiv.org/pdf/1807.09151","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2884509121.pdf","grobid_xml":"https://content.openalex.org/works/W2884509121.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2118020555","https://openalex.org/W2137295153","https://openalex.org/W2322371438","https://openalex.org/W2584017349","https://openalex.org/W2639586488","https://openalex.org/W6680957539"],"related_works":["https://openalex.org/W3091120243","https://openalex.org/W2807634467","https://openalex.org/W2896058601","https://openalex.org/W2951882290","https://openalex.org/W2076383996","https://openalex.org/W2911546262","https://openalex.org/W2942520396","https://openalex.org/W3174163844","https://openalex.org/W3176154882","https://openalex.org/W3200930555","https://openalex.org/W3011492292","https://openalex.org/W2196604737","https://openalex.org/W3042640201","https://openalex.org/W3117686595","https://openalex.org/W3131685266","https://openalex.org/W2786005418","https://openalex.org/W2109832419","https://openalex.org/W3191706549","https://openalex.org/W3199551447","https://openalex.org/W3015206966"],"abstract_inverted_index":{"One":[0],"of":[1,10,16,62,81],"the":[2,5,14,60,123],"problems":[3],"on":[4],"way":[6,28],"to":[7,93,105,118,128,143],"successful":[8],"implementation":[9],"neural":[11],"networks":[12],"is":[13],"quality":[15],"annotation.":[17],"For":[18],"instance,":[19],"different":[20,27,130],"annotators":[21,85,151],"can":[22,125],"annotate":[23],"images":[24],"in":[25,39,48,59],"a":[26,70,89,101],"and":[29,38,134,138,145],"very":[30],"often":[31],"their":[32],"decisions":[33],"do":[34],"not":[35],"match":[36],"exactly":[37],"extreme":[40],"cases":[41],"are":[42,149],"even":[43],"mutually":[44],"exclusive":[45],"which":[46,87,99,114],"results":[47],"noisy":[49],"annotations":[50,74,116],"and,":[51],"consequently,":[52],"inaccurate":[53],"predictions.":[54],"To":[55],"avoid":[56],"that":[57],"problem":[58],"task":[61],"computed":[63],"tomography":[64],"(CT)":[65],"imaging":[66],"segmentation":[67],"we":[68],"propose":[69],"clearing":[71],"algorithm":[72,124],"for":[73],"<sup":[75],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[77],",":[78],"It":[79],"consists":[80],"3":[82],"stages:":[83],"\u00b7":[84,96,111],"scoring,":[86,98],"assigns":[88,100],"higher":[90,102],"confidence":[91,103],"level":[92,104],"better":[94],"annotators;":[95,110],"nodules":[97,106,112,119],"confirmed":[107],"by":[108],"good":[109],"merging,":[113],"aggregates":[115],"according":[117],"confidence.":[120],"In":[121],"general,":[122],"be":[126],"applied":[127],"many":[129],"tasks":[131],"(namely,":[132],"binary":[133],"multi-class":[135],"semantic":[136],"segmentation,":[137],"also":[139],"with":[140],"trivial":[141],"adjustments":[142],"classification":[144],"regression)":[146],"where":[147],"there":[148],"several":[150],"labeling":[152],"each":[153],"image.":[154]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}