WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.
Journal:
Computer methods and programs in biomedicine
Published Date:
May 14, 2022
Abstract
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic is a major global health crisis of this century. The use of neural networks with CT imaging can potentially improve clinicians' efficiency in diagnosis. Previous studies in this field have primarily focused on classifying the disease on CT images, while few studies targeted the localisation of disease regions. Developing neural networks for automating the latter task is impeded by limited CT images with pixel-level annotations available to the research community.