Project Overview: Developed an end-to-end automated system to classify retinal images into glaucomatous and non-glaucomatous to assist early medical diagnosis. This project utilises CNN - Convolutional Neural Networks to analyse textual features from medical images.
Language: Python
Libraries: Keras, OpenCV(cv2), NumPy, Pandas, Tkinter
Poornasree/Glaucoma_Detection
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