🔍 7 Breakthrough Insights: How Disentangled Generative Models Fix Biases in Retinal Imaging (and Where They Fail)
Introduction: Why Bias in Retinal Imaging Matters More Than Ever Retinal fundus images are crucial in diagnosing conditions from diabetic retinopathy to cardiovascular diseases. But here’s the problem: most AI models trained on retinal images learn the wrong things. Imagine this: a deep learning system that diagnoses ethnicity instead of actual disease features—because the camera […]
