An aspect of the present disclosure relates to a device for early prediction of diabeticretinopathy with application of deep learning. The device includes an image capturingdevice, a memory coupled to processor. The image capturing device obtains a retinal fundus image from the user. The memory comprising executable instructions which upon execution by the processor configures the device to obtain physiological parameters of the user in real-time from the image capturing device, retrieve the obtainedretinal fundus image and the one or more obtained physiological parameters and compare theone or more extracted features with at least one pre-stored feature in a database to generate atleast a prediction result indicative of detection of the presence, the progression or thetreatment effect of the disease in the user.
Sheifali Gupta, Rakesh Ahuja, Meenu Garg, Rupesh Gupta, Deepali Gupta, Sachin Ahuja