A transfer-learning approach for lesion detection in endoscopic images from the urinary tract.
Jorge F. LazoSara MocciaAldo MarzulloMichele CatellaniOttavio De CobelliBenoit RosaMichel de MathelinElena De MomiPublished in: CoRR (2021)
Keyphrases
- transfer learning
- endoscopic images
- lesion detection
- computer aided diagnosis
- endoscopic video
- knowledge transfer
- region of interest
- reinforcement learning
- labeled data
- cross domain
- active learning
- white matter
- medical images
- machine learning
- text categorization
- machine learning algorithms
- learning algorithm
- transfer knowledge
- semi supervised learning
- breast cancer
- brain tumors
- magnetic resonance images
- collaborative filtering
- coronary artery
- diffusion tensor
- text classification
- unlabeled data
- lesion segmentation
- computer aided
- decision trees
- finite element
- training data
- image segmentation
- semi supervised
- image data
- neural network