A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.
Laurens TopffJosé Sánchez-GarcíaRafael López-GonzálezAna Jiménez PastorJacob J VisserMerel HuismanJulien GuiotRegina G H Beets-TanAngel Alberich-BayarriAlmudena Fuster-MatanzoErik R Ranschaertnull nullPublished in: PloS one (2023)
We developed a deep learning-based clinical decision support system that could become an efficient concurrent reading tool to assist clinicians, utilising a newly created European dataset including more than 2,800 CT scans.
Keyphrases
- deep learning
- clinical decision support
- coronavirus disease
- dual energy
- computed tomography
- sars cov
- artificial intelligence
- contrast enhanced
- image quality
- convolutional neural network
- electronic health record
- machine learning
- high resolution
- magnetic resonance imaging
- positron emission tomography
- palliative care
- quality improvement
- working memory
- squamous cell carcinoma
- photodynamic therapy