Diagnostic validation of a deep-learning nodule detection algorithm in low-dose chest CT: Determination of optimized dose thresholds in a virtual screening scenario

Peters, Alan Arthur; Huber, Adrian Thomas; Obmann, Verena Carola; Heverhagen, Johannes; Christe, Andreas; Ebner, Lukas (June 2022). Diagnostic validation of a deep-learning nodule detection algorithm in low-dose chest CT: Determination of optimized dose thresholds in a virtual screening scenario (Unpublished). In: SCR'22.

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Peters, Alan Arthur; Huber, Adrian Thomas; Obmann, Verena Carola; Heverhagen, Johannes; Christe, Andreas and Ebner, Lukas

Subjects:

600 Technology > 610 Medicine & health

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

20 Apr 2022 09:26

Last Modified:

20 Apr 2022 09:26

Additional Information:

Oral presentation

URI:

https://boris.unibe.ch/id/eprint/167823

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