Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning.
David KupasBalázs HarangiPublished in: EMBC (2021)
Keyphrases
- deep learning
- image generation
- imbalanced datasets
- unsupervised learning
- machine learning
- decision trees
- cost sensitive learning
- high resolution
- pattern recognition
- support vector
- feature space
- feature extraction
- class imbalance
- classification accuracy
- model selection
- weakly supervised
- class labels
- text classification
- machine learning methods
- multiscale
- feature set
- supervised learning
- training set
- data sets