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Article: Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System
Title | Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System |
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Authors | |
Keywords | Chest Artificial Intelligence Conventional radiography Computer Applications-Detection diagnosis |
Issue Date | 2020 |
Publisher | European Society of Radiology. |
Citation | European Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020, Poster Presentation nos. C-05006 How to Cite? |
Description | Congress 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 Identifier | http://hdl.handle.net/10722/283296 |
DC Field | Value | Language |
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dc.contributor.author | Du, R | - |
dc.contributor.author | Xie, C | - |
dc.contributor.author | Yu, JML | - |
dc.contributor.author | Tsougenis, E | - |
dc.contributor.author | Onder, OF | - |
dc.contributor.author | Lai, CTM | - |
dc.contributor.author | Chen, H | - |
dc.contributor.author | Vardhanabhuti, V | - |
dc.date.accessioned | 2020-06-22T02:54:41Z | - |
dc.date.available | 2020-06-22T02:54:41Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | European Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020, Poster Presentation nos. C-05006 | - |
dc.identifier.uri | http://hdl.handle.net/10722/283296 | - |
dc.description | Congress 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.description | Poster Presentation: Poster Nos. C-05006 | - |
dc.language | eng | - |
dc.publisher | European Society of Radiology. | - |
dc.relation.ispartof | European Congress of Radiology (ECR), 2020 | - |
dc.subject | Chest | - |
dc.subject | Artificial Intelligence | - |
dc.subject | Conventional radiography | - |
dc.subject | Computer Applications-Detection | - |
dc.subject | diagnosis | - |
dc.title | Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System | - |
dc.type | Article | - |
dc.identifier.email | Vardhanabhuti, V: varv@hku.hk | - |
dc.identifier.authority | Vardhanabhuti, V=rp01900 | - |
dc.description.nature | abstract | - |
dc.identifier.doi | 10.26044/ecr2020/C-05006 | - |
dc.identifier.hkuros | 310385 | - |
dc.publisher.place | Vienna | - |