Jodhpur: Indian Institute of Technology Jodhpur researchers have developed a novel Computer-aided diagnosis (deep learning) based approach for Hypertensive Retinopathy (HR) detection. Computer-aided diagnosis (CAD) plays an important role in the early identification of HR with high diagnostic accuracy, which is cheap, portable, non-invasive, time-efficient and demands fewer resources.The work has been published in Biomedical Signal Processing and Control Journal and a detailed review study for Hypertensive Retinopathy Diagnosis has also been published in Computer Methods and Programs in Biomedicine. Hypertensive Retinopathy (HR) is a retinal disease caused by hypertension for a prolonged period of time. HR is a bio-marker for a variety of diseases, including cardiovascular risks and target-organ damage. Early detection and treatment can prevent blindness as it may even lead to loss of vision. In the initial stage of this retinal disease, no visible signs are found. The proposed method will play an important role in the early identification of Hypertensive Retinopathy with high diagnostic accuracy.