Comparison between Transfer Learning and Data Augmentation on Medical Images Classification.
Ahmad Al-QeremAmer Abu SalemIssam JebreenAhmad NabotAhmad SamhanPublished in: ACIT (2021)
Keyphrases
- medical images
- transfer learning
- data sets
- labeled data
- training data
- data analysis
- data points
- label information
- data sources
- active learning
- knowledge discovery
- domain specific
- image classification
- text classification
- learning tasks
- medical imaging
- machine learning
- imaging modalities
- medical image analysis
- cross domain
- learning environment
- data distribution
- text categorization
- training samples
- object recognition
- k nearest neighbor
- dimensionality reduction
- semi supervised
- support vector machine