Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images.
Erdi AcarEngin SahinIhsan YilmazPublished in: Neural Comput. Appl. (2021)
Keyphrases
- ct images
- computed tomography
- deep learning
- ct scans
- medical images
- medical imaging
- image reconstruction
- ct data
- computer tomography
- lung nodules
- liver segmentation
- low dose
- treatment planning
- region of interest
- cone beam
- pulmonary nodules
- machine learning
- fracture detection
- unsupervised learning
- x ray
- three dimensional
- medical image processing
- mr images
- super resolution
- image processing