CARDIO VASCULAR DISEASE PREDICTION USING RETINAL IMAGES BASED ON DEEP LEARNING ALGORITHMS

Abstract

The eye is used to deliver a space into the strength of a creature for it is only in the eye that one can
really see the uncovered flesh of the theme without using surgical actions. There will be a number of
disease available in the human body, particularly in heart, that can be identified using retinal images.
The retinal photography that plays a vital part in the identification of vascular diseases. This eye
image is captured using the fundus camera and with a direct digital image processing technique in a
computer. Using thickness and thinness of the veins and artery blood vessels the condition of the
cardio vascular disease can be identified. In this project automatic segmentation approach is
implemented to obtain the regional information about arteries and veins. And at last predict the
cardio vascular diseases and other diseases by using CRAE and CRVE values.