Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images.
Abdullah SarhanAli Al-KhazÁlyAdam GornerAndrew SwiftJon G. RokneReda AlhajjAndrew CrichtonPublished in: ACCV (5) (2020)
Keyphrases
- optic disc
- loss function
- transfer learning
- retinal images
- optic disk
- fundus images
- vessel segmentation
- blood vessels
- learning tasks
- pairwise
- labeled data
- retinal fundus images
- machine learning
- circular hough transform
- reinforcement learning
- active learning
- support vector
- logistic regression
- optical coherence tomography
- cross domain
- machine learning algorithms
- semi supervised learning
- text classification
- collaborative filtering
- learning algorithm
- diabetic retinopathy
- domain adaptation
- text categorization
- multi task
- segmentation algorithm
- text mining
- unlabeled data
- segmentation scheme
- semi supervised
- target domain
- image segmentation
- decision trees