Early detection of Diabetic retinopathy using advanced neural networks predicts diabetes, allowing timely intervention.
Understanding Diabetic Retinopathy and its impact on vision
Diabetic retinopathy is an eye condition that can cause vision loss and blindness in people who have diabetes. It affects blood vessels in the retina (the light-sensitive layer of tissue in the back of your eye).
Blood vessels in the retina start to bleed into the vitreous (gel-like fluid that fills your eye) and dark, floating spots or streaks that look like cobwebs can be seen.
Diabetic retinopathy can lead to other serious eye conditions such as Diabetic macular edema (DME) and Neovascular glaucoma which can cause vision loss and blindness.
How we're solving the problem with advanced technology
Gathering a diverse dataset of retinal images, encompassing both diabetic and non-diabetic cases, ensuring comprehensive representation for accurate model training.
Designing an efficient neural network architecture specifically tailored for image classification tasks, optimized for retinal image analysis.
Using nature-inspired algorithms to optimize the performance of the neural network, enhancing accuracy and efficiency in diabetic retinopathy detection.
Training the model with the ResNet18 architecture to achieve maximum accuracy and minimum loss through rigorous validation processes.
Evaluating the model's performance using appropriate metrics such as accuracy, precision, recall, and F1 score to ensure reliable results.
Meet the talented individuals behind DiaCure
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Expanding the capabilities of DiaCure
Developing a user-friendly mobile application for easier access and real-time diabetic retinopathy detection.
Integrating the system with hospital management systems for seamless diagnosis and patient tracking.
Implementing more sophisticated AI models for higher accuracy and detection of additional eye conditions.