Elisabetta Walters
Biographic Data
| ID | 7779653 |
|---|---|
| NAME | Elisabetta Walters |
| GIVEN NAMES | Elisabetta |
| FAMILY NAME | Walters |
| SIGNATURE | WALTERS E |
| AFFILIATIONS | Desmond Tutu HIV Foundation |
| ORCID | 0000-0003-0546-2995 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Computer-aided detection for radiological disease severity classification on chest radiograph in children with intra-thoracic tuberculosis
Implementation of the World Health Organization’s (WHO) recommended shorter 4-month treatment regimen for non-severe tuberculosis (TB) in children requires classification of disease severity on chest X-ray (CXR). Access to specialists for CXR interpretation is limited. We explored the use of computer-aided detection of CXR (“CAD”) to automate CXR classification of radiological disease severity. To do this, we combined three CXR datasets from chil…
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children
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
Complementary surveillance strategies are needed to better characterise the epidemiology, care pathways and treatment outcomes of tuberculosis in children
The burden and spectrum of childhood TB disease managed at referral hospital level in high burden settings is substantial. Hospital-based surveillance in addition to routine TB surveillance is essential to provide a complete picture of the burden, spectrum and impact of childhood TB in settings where hospitals are not TB reporting units
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Complementary surveillance strategies are needed to better characterise the epidemiology, care pathways and treatment outcomes of tuberculosis in children
The burden and spectrum of childhood TB disease managed at referral hospital level in high burden settings is substantial. Hospital-based surveillance in addition to routine TB surveillance is essential to provide a complete picture of the burden, spectrum and impact of childhood TB in settings where hospitals are not TB reporting units
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children
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
Computer-aided detection for radiological disease severity classification on chest radiograph in children with intra-thoracic tuberculosis
Implementation of the World Health Organization’s (WHO) recommended shorter 4-month treatment regimen for non-severe tuberculosis (TB) in children requires classification of disease severity on chest X-ray (CXR). Access to specialists for CXR interpretation is limited. We explored the use of computer-aided detection of CXR (“CAD”) to automate CXR classification of radiological disease severity. To do this, we combined three CXR datasets from chil…
Tuberculosis (3 works) · Tuberculosis Research and Epidemiology (3 works) · COVID-19 diagnosis using AI (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Radiological weapon (2 works) · Receiver operating characteristic (2 works) · Biostatistics (1 work) · Chest radiograph (1 work) · Cohort (1 work)