Python
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
Brain Tumor Detection and Classification Using Intelligence Techniques An Overview
Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography
Aim:
Aim to build a reliable system that can identify different retinal diseases from OCT images. To create a practical workflow that can analyze images, compare predictions, and flag mistakes for improvement. It combine the strengths of multiple models so the final decision is more accurate and stable.