Performance change with the number of training data: A case study on the binary classification of COVID-19 chest X-ray by using convolutional neural networks.
Kuniki ImagawaKohei ShiomotoPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- x ray
- binary classification
- training data
- x ray images
- digital x ray images
- three dimensional
- multi class
- ct scans
- intraoperative
- tomographic images
- medical imaging
- decision trees
- training set
- generalization error
- low dose
- convolutional neural networks
- upper bound
- prediction accuracy
- prior knowledge
- training samples
- support vector machine
- chest radiographs
- supervised learning
- transmission electron microscopy