Eye Disease Identification Using Deep Learning Model

Eye Disease Identification Using Deep Learning Model

Poojashree K1, Prof. Hemanth S R 2

1 M-Tech Student, CSE, Maharaja Institute of Technology, Belavadi, Mandya, India, 571477

2Professor, Department of CSE, Maharaja Institute of Technology, Belavadi, Mandya, India, 571477

Abstract:

Retinal fundus images are a valuable source of information for ophthalmologists to diagnose retina problems. Early detection can improve chances of cure and prevent blindness. Retinal problems like diabetic retinopathy and retinitis pigmentosa can be diagnosed using retinal fundus images by medical experts. In recent times, machine learning research has focused on diagnosing diseases like diabetic retinopathy by extracting features and then classifying the image. This paper talks about the CNN model. On the other hand, the deep learning model (CNN model) provides an average accuracy of 90%.

Keywords: Fundus Images, Machine learning, Retinal, Diabetic Retinopathy,