Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms

Help | Contact us

Vanobberghen, F., Keter, A.K., Jacobs, B.K.M., Glass, T.R., Lynen, L., Law, I., Murphy, K., Van Ginneken, B., Ayakaka, I., Van Heerden, A., Maama, L. & Reither, K. (2024) Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms. ERJ Open Research. 10:Online. http://hdl.handle.net/20.500.11910/22974 http://hdl.handle.net/20.500.11910/22974

http://hdl.handle.net/20.500.11910/22974
 
Abstract:
Use of computer-aided detection (CAD) software is recommended to improve tuberculosis screening and triage, but threshold determination is challenging if reference testing has not been performed in all individuals. We aimed to determine such thresholds through secondary analysis of the 2019 Lesotho national tuberculosis prevalence survey.
Reference:
If you would like to obtain a copy of this Research Output, please contact the Research Outputs curators at researchoutputs@hsrc.ac.za

Attribution-NonCommercial
CC BY-NC

This license lets others remix, adapt, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.
 
16 Feb 2024
 
TUBERCULOSIS
DIGITAL HEALTH CARE
LESOTHO
CLINICAL TESTS AND MEASUREMENTS
 
Show full item record
 
 

This item appears in the following Collection(s)