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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	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
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Elsevier 2024-10-01
Ráidu:	International Journal of Infectious Diseases
Fáttát:	Tuberculosis Deep learning Chest radiography Prediction modelling
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S1201971224002923
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!