An automated unsupervised deep learning-based approach for diabetic retinopathy detection.
Huma NazRahul NijhawanNeelu Jyothi AhujaPublished in: Medical Biol. Eng. Comput. (2022)
Keyphrases
- deep learning
- diabetic retinopathy
- unsupervised learning
- automatic detection
- deep architectures
- retinal images
- early detection
- weakly supervised
- restricted boltzmann machine
- unsupervised feature learning
- optic disc
- medical experts
- machine learning
- deep belief networks
- semi supervised
- supervised learning
- vessel segmentation
- mental models
- blood vessels
- dimensionality reduction
- semi automatic
- learning strategies
- text classification
- object detection
- active learning
- training set
- expert systems