Publications by authors named "G Fung"
Accurate quantification of lung density, in Hounsfield Units (HU), is of high importance to monitor progression of diseases such as emphysema using chest CT imaging. Reproducibility of HU quantification on independent photon counting detector CT (PCD-CT) systems with a focus on lung imaging have not yet been evaluated. We thus aimed to evaluate HU reproducibility on 2 independent PCD-CT systems using a repeatable phantom setup with identical acquisition and image reconstruction settings.
View Article and Find Full Text PDFArticle Synopsis
- A randomised controlled trial was conducted in Hong Kong to explore ways to improve rotavirus vaccine uptake among children, as the vaccine is not part of the government's immunization program.
- Mothers in the study were divided into control and two intervention groups; the interventions included providing essential information, reminders, and incentives for free vaccinations.
- The results showed that the full intervention package significantly boosted vaccine uptake from 48% to 81%, with financial incentives and information leading to increased rates of vaccination among participants.
Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set.
J Thorac Imaging
January 2025
Purpose: We sought to clinically validate a fully automated deep learning (DL) algorithm for coronary artery disease (CAD) detection and classification in a heterogeneous multivendor cardiac computed tomography angiography data set.
Materials And Methods: In this single-centre retrospective study, we included patients who underwent cardiac computed tomography angiography scans between 2010 and 2020 with scanners from 4 vendors (Siemens Healthineers, Philips, General Electrics, and Canon). Coronary Artery Disease-Reporting and Data System (CAD-RADS) classification was performed by a DL algorithm and by an expert reader (reader 1, R1), the gold standard.