Plan to develop a deep learning model for Retinal OCT image analysis using CNN, leveraging transfer learning
and robust techniques like dropout and batch normalization.
◦ Curate and preprocess a diverse dataset with resizing, normalization, and data augmentation, aiming to optimize
performance through hyperparameter tuning and cross-validation.