An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
Nadiah BaghdadiAmer MalkiSally F. AbdelaliemHossam Magdy BalahaMahmoud BadawyMostafa A. El-HosseiniPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- ct images
- lung nodules
- transfer learning
- computed tomography
- convolutional neural network
- medical images
- ct scans
- text classification
- pulmonary nodules
- medical imaging
- machine learning
- labeled data
- computer aided diagnosis
- face detection
- active learning
- transfer knowledge
- computer tomography
- reinforcement learning
- machine learning algorithms
- automated segmentation
- medical diagnosis
- three dimensional
- low dose
- pattern recognition
- support vector
- text categorization
- x ray
- cross domain
- supervised learning
- cad systems
- fracture detection
- data sets
- region of interest
- computer aided
- feature extraction
- decision trees
- neural network
- breast cancer
- unlabeled data
- unsupervised learning
- text mining
- support vector machine
- training set
- object recognition
- traumatic brain injury