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 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
Using Artificial Intelligence to Read Chest Radiographs for Tuberculosis Detection: A Multi-Site Evaluation of the Diagnostic Accuracy of Three Deep Learning Systems Using Artificial Intelligence to Read Chest Radiographs for Tuberculosis Detection: A Multi-Site Evaluation of the Diagnostic Accuracy of Three Deep Learning Systems
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest X-rays for pulmonary tuberculosis A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest X-rays for pulmonary tuberculosis
Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography Fast and Effective Quantification of Symmetry in Medical Images for Pathology Detection: Application to Chest Radiography
Automatic Detection of Pleural Effusion in Chest Radiographs Automatic Detection of Pleural Effusion in Chest Radiographs
Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review Computer-Aided Detection of Pulmonary Tuberculosis on Digital Chest Radiographs: a Systematic Review
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis
Localized energy-based normalization of medical images: application to chest radiography Localized energy-based normalization of medical images: application to chest radiography
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays
Cavity Contour Segmentation in Chest Radiographs Using Supervised Learning and Dynamic Programming Cavity Contour Segmentation in Chest Radiographs Using Supervised Learning and Dynamic Programming
Multiple-instance learning for computer-aided detection of tuberculosis Multiple-instance learning for computer-aided detection of tuberculosis
