Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models.
Raza ImamMohammed Talha AlamPublished in: CoRR (2023)
Keyphrases
- transfer learning
- learning models
- learning tasks
- machine learning algorithms
- machine learning
- classification models
- semi supervised learning
- brain tumors
- text classification
- learning algorithm
- learning problems
- labeled data
- supervised learning
- decision trees
- unlabeled data
- active learning
- classification accuracy
- magnetic resonance images
- multi task
- feature selection
- reinforcement learning
- mr images
- class labels
- labeled and unlabeled data
- feature vectors
- text categorization
- support vector
- semi supervised
- feature extraction
- image classification
- collaborative filtering
- support vector machine
- data sets
- training samples
- loss function
- generative model
- k nearest neighbor
- medical images
- natural language