Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings.
Verónica Sánchez-GutiérrezPaula Hernández-MartínezFrancisco J. Muñoz-NegreteJonne EngelbertsAllison M. LugerMark J. J. P. van GrinsvenPublished in: CoRR (2022)
Keyphrases
- diabetic retinopathy
- deep learning
- medical experts
- automatic detection
- retinal images
- early detection
- unsupervised learning
- unsupervised feature learning
- blood vessels
- optic disc
- mental models
- machine learning
- weakly supervised
- vessel segmentation
- medical domain
- object detection
- multiscale
- clinical practice
- object categories
- feature selection