Optimizing MobileNet for Efficient and Accurate Retinal Disease Diagnosis

A strategically optimized MobileNet model, named nnMobileNet, can outperform state-of-the-art vision transformer-based models in various retinal disease benchmarks, demonstrating the potential of fine-tuned convolutional neural networks for efficient and accurate retinal disease diagnosis.