A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?

(2018) K. C. Santosh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening

(2018) J. Melendez et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Big Data and Machine Learning in Health Care

(2018) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs

(2018) Szilárd Vajda et al.   JOURNAL OF MEDICAL SYSTEMS

Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus

(2018) R. C. Koesoemadinata et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan

(2018) Syed Mohammad Asad Zaidi et al.   Scientific Reports

An evaluation of automated chest radiography reading software for tuberculosis screening among public- and private-sector patients

(2017) Md Toufiq Rahman et al.   EUROPEAN RESPIRATORY JOURNAL

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey

(2017) J. Melendez et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography

(2017) Laurens Hogeweg et al.   MEDICAL PHYSICS

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis

(2016) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Computer-aided detection of pulmonary tuberculosis on digital chest radiographs: a systematic review

(2016) T. Pande et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Automatic detection of pleural effusion in chest radiographs

(2016) Pragnya Maduskar et al.   MEDICAL IMAGE ANALYSIS

Edge map analysis in chest X-rays for automatic pulmonary abnormality screening

(2016) K. C. Santosh et al.   International Journal of Computer Assisted Radiology and Surgery

An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

(2016) Jaime Melendez et al.   Scientific Reports

Use of chest radiography in the 22 highest tuberculosis burden countries: TABLE 1

(2015) Tripti Pande et al.   EUROPEAN RESPIRATORY JOURNAL

Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

(2015) Laurens Hogeweg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

(2015) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography

(2015) Guilherme Giacomini et al.   MEDICINE

Implementation Research to Inform the Use of Xpert MTB/RIF in Primary Health Care Facilities in High TB and HIV Settings in Resource Constrained Settings

(2015) Monde Muyoyeta et al.   PLoS One

Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It’s Free!)

(2015) Ana Requena-Méndez et al.   PLoS One

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays

(2015) Alexandros Karargyris et al.   International Journal of Computer Assisted Radiology and Surgery

Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs

(2015) R. H. H. M. Philipsen et al.   Scientific Reports

The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia

(2014) Monde Muyoyeta et al.   PLoS One

Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa

(2014) Marianne Breuninger et al.   PLoS One

Role of Gist and PHOG Features in Computer-Aided Diagnosis of Tuberculosis without Segmentation

(2014) Arun Chauhan et al.   PLoS One

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

Automatic Tuberculosis Screening Using Chest Radiographs

(2013) Stefan Jaeger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Artificial neural network models to support the diagnosis of pleural tuberculosis in adult patients

(2013) J. M. Seixas et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers

(2013) P. Maduskar et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial

(2013) Grant Theron et al.   LANCET

Costs and Consequences of Additional Chest X-Ray in a Tuberculosis Prevention Program in Botswana

(2010) Taraz Samandari et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Applying a statistical PTB detection procedure to complement the gold standard

(2010) Norliza Mohd Noor et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Diagnostic accuracy of digital chest radiography for pulmonary tuberculosis in a UK urban population

(2010) I. Abubakar et al.   EUROPEAN RESPIRATORY JOURNAL

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE