It utilizes Convolutional Neural Networks (CNNs) and other advanced techniques to automatically classify various eye conditions such as glaucoma, diabetic retinopathy, and cataract ... by leveraging ...

Pipelining: The deep learning and machine learning models are combined using pipelining to increase the precision of the glaucoma detection model. The best features and methods from the deep learning ...

Abstract: Elevated intraocular pressure is the hallmark of glaucoma, which can cause vision loss and optic nerve damage if initially undiagnosed due to mild symptoms. For vision impairment to be ...

A groundbreaking study explores the potential of a hybrid multi-model AI approach for glaucoma screening using fundus images ... proving that multi-model deep learning can significantly enhance early ...

Early glaucoma detection is essential because glaucoma ... There are some existing methodologies SVM, KNN, and Random Forest using text datasets and with a low accuracy rate. In this project, we apply ...