Breaking the threshold: Developing multivariable models using computer-aided chest X-ray analysis for tuberculosis triage

Breaking the threshold: Developing multivariable models using computer-aided chest X-ray analysis for tuberculosis triage

Objectives: Computer-aided detection (CAD) software packages quantify tuberculosis (TB)-compatible chest X-ray (CXR) abnormality as continuous scores. In practice, a threshold value is selected for binary CXR classification. We assessed the diagnostic accuracy of an alternative approach to applying...

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Bibliographic Details
Main Authors: Coralie Geric, Gamuchirai Tavaziva, Marianne Breuninger, Keertan Dheda, Ali Esmail, Alex Scott, Mary Kagujje, Monde Muyoyeta, Klaus Reither, Aamir J. Khan, Andrea Benedetti, Faiz Ahmad Khan
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:International Journal of Infectious Diseases
Subjects:
Tuberculosis
Deep learning
Chest radiography
Prediction modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S1201971224002923

Internet

http://www.sciencedirect.com/science/article/pii/S1201971224002923

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