Exploring connections of spectral analysis and transfer learning in medical imaging.
Yucheng LuDovile JuodelyteJonathan D. VictorVeronika CheplyginaPublished in: CoRR (2024)
Keyphrases
- medical imaging
- transfer learning
- spectral analysis
- medical images
- x ray
- image registration
- knowledge transfer
- shape analysis
- machine learning
- image processing
- image segmentation
- cross domain
- collaborative filtering
- computer vision
- imaging modalities
- image analysis
- autoregressive
- labeled data
- reinforcement learning
- text classification
- target domain
- remote sensing
- semi supervised learning
- active learning
- machine learning algorithms
- text mining
- speech signal
- learning algorithm
- unlabeled data
- semi supervised
- three dimensional
- neural network
- text categorization
- data sets