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Article: Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System

TitleSimulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System
Authors
KeywordsChest
Artificial Intelligence
Conventional radiography
Computer Applications-Detection
diagnosis
Issue Date2020
PublisherEuropean Society of Radiology.
Citation
European Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020, Poster Presentation nos. C-05006 How to Cite?
DescriptionCongress was originally planned for 11-15 March 2020 could not be held, due to Convid-19. The ECR 2020 Online Congress Programme taking place between July 15-19, 2020
Poster Presentation: Poster Nos. C-05006
Persistent Identifierhttp://hdl.handle.net/10722/283296

 

DC FieldValueLanguage
dc.contributor.authorDu, R-
dc.contributor.authorXie, C-
dc.contributor.authorYu, JML-
dc.contributor.authorTsougenis, E-
dc.contributor.authorOnder, OF-
dc.contributor.authorLai, CTM-
dc.contributor.authorChen, H-
dc.contributor.authorVardhanabhuti, V-
dc.date.accessioned2020-06-22T02:54:41Z-
dc.date.available2020-06-22T02:54:41Z-
dc.date.issued2020-
dc.identifier.citationEuropean Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020, Poster Presentation nos. C-05006-
dc.identifier.urihttp://hdl.handle.net/10722/283296-
dc.descriptionCongress was originally planned for 11-15 March 2020 could not be held, due to Convid-19. The ECR 2020 Online Congress Programme taking place between July 15-19, 2020-
dc.descriptionPoster Presentation: Poster Nos. C-05006-
dc.languageeng-
dc.publisherEuropean Society of Radiology.-
dc.relation.ispartofEuropean Congress of Radiology (ECR), 2020-
dc.subjectChest-
dc.subjectArtificial Intelligence-
dc.subjectConventional radiography-
dc.subjectComputer Applications-Detection-
dc.subjectdiagnosis-
dc.titleSimulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System-
dc.typeArticle-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.26044/ecr2020/C-05006-
dc.identifier.hkuros310385-
dc.publisher.placeVienna-

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