Abstract:
The Hypertension is considered as one of the most common diseases that lead to an ophthalmological illness that is Hypertensive Retinopathy. It affects the arterial structure which damages eye vision; later at severity it causes complete vision loss. A diligent study has been carried out to get in depth and detailed knowledge about some of the previous clinical and machine learning methodologies. We have analyzed the functional and structural features along with clinical findings using fundus images. A review analysis deduced that Hypertensive Retinopathy has different severity estimations. The highest level is the swelling in Optic Disk and the initial level has arterial narrowing. A review also infers about the techniques to diagnose at early stage require precise data about its arterial features. Furthermore, by utilizing hybrid set of features in training and classification of arteries and veins in fundus images, the turnout results can yield to accurate and early exposure of grading level in Hypertensive Retinopathy.
