Pierre Goussard
Biographic Data
| ID | 9068322 |
|---|---|
| NAME | Pierre Goussard |
| GIVEN NAMES | Pierre |
| FAMILY NAME | Goussard |
| SIGNATURE | GOUSSARD P |
| AFFILIATIONS | Western Cape Department of Health |
| ORCID | 0000-0003-1146-1307 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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
No prominent works on this page.
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…
COVID-19 diagnosis using AI (2 works) · Radiological weapon (2 works) · Receiver operating characteristic (2 works) · Tuberculosis (2 works) · Tuberculosis Research and Epidemiology (2 works) · Chest radiograph (1 work) · Disease (1 work) · Image Processing Techniques and Applications (1 work) · Internal Medicine (1 work) · Lung Cancer Diagnosis and Treatment (1 work)