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Found 4 papers, 1 papers with code
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
The proposed method can generate high-quality images with more realistic vascular structures and can create a diverse range of images based on the strengths of the diffusion model.
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN
Fundoscopic images are often investigated by ophthalmologists to spot abnormal lesions to make diagnoses.
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
Retinal images have the highest resolution and clarity among medical images.
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images.
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