Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models.
Raza ImamMohammed Talha AlamPublished in: Epi UAI (2024)
Keyphrases
- transfer learning
- learning models
- learning tasks
- machine learning algorithms
- machine learning
- semi supervised learning
- classification models
- text classification
- learning algorithm
- labeled data
- brain tumors
- supervised learning
- learning problems
- pattern recognition
- active learning
- labeled and unlabeled data
- decision trees
- reinforcement learning
- semi supervised
- support vector
- training samples
- unlabeled data
- feature selection
- unsupervised learning
- text categorization
- classification accuracy
- loss function
- feature extraction
- mr images
- image processing
- model selection
- kernel methods
- learning experience
- class labels
- multi task
- training data
- feature vectors