emirkaanozdemr/Retina-Classification-Using-DCGAN-and-CNN
In this project, I aim to develop a robust system to classify real and synthetic retina images using advanced machine learning. I will generate synthetic retina images from a single eye photo using Deep Convolutional Generative Adversarial Networks (DCGAN) and classify them with a Convolutional Neural Network (CNN).
This system helps medical researchers and ophthalmologists generate realistic synthetic retina images from a single existing eye photo. It then classifies these images as either real or synthetically created. This allows practitioners to expand their dataset for training or analysis without needing numerous physical patient images.
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Use this if you need to create diverse synthetic retina images from a limited collection of real ones for research, training, or data augmentation purposes.
Not ideal if your primary goal is clinical diagnosis or if you require image generation from non-retinal medical imagery.
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Jul 08, 2024
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