Assessing coarse-to-fine deep learning models for optic disc and cup segmentation in fundus images
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SPIE
Reference20 articles.
1. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
2. PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
3. Deep Learning and Glaucoma Specialists
4. Applications of deep learning in fundus images: A review
5. The effect of optic disc diameter on vertical cup to disc ratio percentiles in a population based cohort: the Blue Mountains Eye Study
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