Ophthalmic diagnosis using deep learning with fundus images - A critical review.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 31980096.
- Also identified by DOI 10.1016/j.artmed.2019.101758.
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Abstract
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation of optic disk, optic cup, blood vessels as well as detection of lesions are reviewed. Recent deep learning models for classification of diseases such as age-related macular degeneration, glaucoma, and diabetic retinopathy are also discussed. Important critical insights and future research directions are given.
Medical subject headings
- Deep Learning
- Diagnostic Techniques, Ophthalmological
- Eye
- Eye Diseases
- Fundus Oculi
- Image Interpretation, Computer-Assisted
- Ophthalmology