Performance Change with the Ratio 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: MeMeA (2023)
Keyphrases
- x ray
- binary classification
- convolutional neural networks
- training data
- generalization error
- support vector machine
- multi class
- learning problems
- support vector
- x ray images
- supervised learning
- learning algorithm
- multi label
- cost sensitive
- intraoperative
- medical imaging
- digital x ray images
- training set
- prediction accuracy
- three dimensional
- data sets
- training examples
- class labels
- cross validation
- ensemble methods
- test data
- active learning
- low dose
- decision trees
- classification accuracy
- feature selection
- upper bound
- text categorization
- labeled data
- prior knowledge
- semi supervised learning
- text classification
- feature vectors
- sample size
- class distribution
- test set
- naive bayes
- ct scans