Assessment of diabetic retinopathy risk with random forests.
Silvia SanromàAntonio MorenoAïda VallsPedro Romero-ArocaSofia de la Riva-FernandezRamon Sagarra-AlamoPublished in: ESANN (2016)
Keyphrases
- random forests
- diabetic retinopathy
- risk assessment
- random forest
- retinal images
- decision trees
- automatic detection
- early detection
- ensemble methods
- logistic regression
- decision tree ensembles
- tree ensembles
- risk management
- machine learning algorithms
- blood vessels
- medical experts
- regression forests
- optic disc
- vessel segmentation
- risk factors
- machine learning