Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images.
Albert K. FeenyMongkol TadaratiDavid E. FreundNeil M. BresslerPhilippe BurlinaPublished in: Comput. Biol. Medicine (2015)
Keyphrases
- random forests
- fundus images
- automated segmentation
- optical coherence tomography
- optic disc
- blood vessels
- random forest
- ct scans
- logistic regression
- decision trees
- ensemble methods
- segmentation method
- manual segmentation
- retinal images
- color information
- machine learning algorithms
- diabetic retinopathy
- clinical applications
- fully automated
- automatic segmentation
- mr images
- imaging modalities
- medical images
- gold standard
- intensity information
- active shape model
- image analysis
- data mining