Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning.
Md. Atik AhamedRabeya Tus SadiaPublished in: CoRR (2022)
Keyphrases
- transfer learning
- tumor detection
- convolutional neural networks
- learning tasks
- convolutional network
- knowledge transfer
- reinforcement learning
- capsule endoscopy
- active learning
- labeled data
- machine learning
- cross domain
- text mining
- text categorization
- transfer knowledge
- semi supervised learning
- multi task learning
- manifold alignment
- multi task
- learning algorithm
- domain adaptation
- text classification
- neural network
- feature selection
- brain tumors
- machine learning algorithms
- unlabeled data
- collaborative filtering
- target domain
- training data
- feature extraction
- cross domain learning