Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children
Bibliographic Data
| ID | 19594867 |
|---|---|
| Authors | Megan Palmer (0000-0002-2534-2483, Western Cape Department of Health, corresponding author), James A Seddon (0000-0002-2296-2302, Western Cape Department of Health, corresponding author), Marieke M van der Zalm (0000-0002-8787-9139, Western Cape Department of Health, corresponding author), Anneke C Hesseling (0000-0001-9399-9834, Western Cape Department of Health, corresponding author), Pierre Goussard (0000-0003-1146-1307, Stellenbosch University, corresponding author), H Simon Schaaf (0000-0001-5755-4133, Western Cape Department of Health, corresponding author), Julie Morrison (0000-0002-6802-6990, Stellenbosch University, corresponding author), Bram van Ginneken (0000-0003-2028-8972, Radboud University Nijmegen, corresponding author), Jaime Melendez (0000-0003-1066-9536, Radboud University Nijmegen, corresponding author), Elisabetta Walters (0000-0003-0546-2995, Western Cape Department of Health, corresponding author), Keelin Murphy (0000-0001-6831-4020, Radboud University Nijmegen, corresponding author) |
| Editors | Sanghyuk S Shin (0000-0001-9982-4373) |
| Year | 2023 |
| Volume | 3 |
| Issue | 5 |
| Pages | e0001799 |
| Publication date | 2023-05-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0001799 |
| PMID | 37192175 |
| OpenAlex | W4376872325 |
| Language | EN |
| References cited | 16 |
Diagnostic tools for paediatric tuberculosis remain limited, with heavy reliance on clinical algorithms which include chest x-ray. Computer aided detection (CAD) for tuberculosis on chest x-ray has shown promise in adults. We aimed to measure and optimise the performance of an adult CAD system, CAD4TB, to identify tuberculosis on chest x-rays from children with presumptive tuberculosis. Chest x-rays from 620 children
Medical physics · Observational study · Pathology · Radiological weapon · Radiology · Receiver operating characteristic · Tuberculosis · COVID-19 diagnosis using AI · Lung Cancer Diagnosis and Treatment · Medicine · Tuberculosis Research and Epidemiology · Internal Medicine
| Highly cited | No |
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