Lightweight Retinal Layer Segmentation ML Model

This research proposes a column-wise intensity-based deep learning approach for retinal OCT layer segmentation, using denoising, CNN-BiLSTM modeling, and custom loss functions to accurately detect and reconstruct six retinal layers. The lightweight model is optimized for deployment on edge devices while maintaining high accuracy in medical image analysis.