Can Artificial Intelligence Be Used to Accurately Detect Tuberculosis (TB) from Chest X-ray? A Multi-Platform Evaluation of Five AI Products Used for TB Screening in a High-Burden setting
🔗2020
🔗Journal/Publication: ArXiv
🔗Read it in full version: https://doi.org/10.48550/arXiv.2006.05509 […]
Using Artificial Intelligence to Read Chest Radiographs for Tuberculosis Detection: A Multi-Site Evaluation of the Diagnostic Accuracy of Three Deep Learning Systems
🔗2019
🔗Journal/Publication: Nature Scientific Reports
🔗Read it in full version: https://doi.org/10.1038/s41598-019-51503-3
Deep […]
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest X-rays for pulmonary tuberculosis
🔗2019
🔗Journal/Publication: PLOS one
🔗Read it in full version: https://doi.org/10.1371/journal.pone.0221339
We undertook a systematic review […]
Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography
🔗2017
🔗Journal/Publication: Medical Physics
🔗Read it in full version: https://doi.org/10.1002/mp.12127
Automatic Detection of Pleural Effusion in Chest Radiographs
🔗2016
🔗Journal/Publication: Medical Image Analysis
🔗Read it in full version: https://doi.org/10.1016/j.media.2015.09.004
Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review
🔗2016
🔗Journal/Publication: The International Journal of Tuberculosis and Lung Disease
🔗Read it in full version: https://doi.org/10.5588/ijtld.15.0926
OBJECTIVE: To systematically review the diagnostic […]
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis
🔗2015
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/7347438/
Localized energy-based normalization of medical images: application to chest radiography
🔗2015
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/7073580
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis
🔗2015
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/7045613
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays
🔗2014
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/6882215
