Ensemble of deep convolutional neural networks using multi-spectral vision transformer for diabetic macular edema classification from multicolor image
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SPIE
Reference30 articles.
1. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition
2. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales
3. Multimodal Imaging in Diabetic Macular Edema
4. Artificial Intelligence and Deep Learning in Ophthalmology
5. Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs
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