In the versatile advanced world, diseases due to the cardiovascular disease (CVD) play a major role in human health disorders event leads to death. CVD deaths accounts for 80% in males and 75% in females. Cardiovascular diseases are the leading cause of death globally. By 2030, over 23 million people will die from CVD every year. Up to 90% of cardiovascular disease may be preventable if they are properly recognized and correct treatment should be given at the earlier stage. This paper undergoes one of the key factors to find CVD is through retinal vessels, the processes involved in those measurements could predict the presence of diseases. The main function that is involved in the retinal vessels is the extraction of information present inside the tissues which is used in the case of recognition and treatment towards cardiovascular diseases such as stroke, blood pressure, hyper tension, glaucoma etc. The retinal image taken is filtered and then segmented. Their result is used for arteries and vein classification through the support vector machine (SVM). By detecting the optic cup and optic disc measurement, cup-to-disc ratio (CDR) is calculated here. By using artificial neural networks (ANN), the presence of CVD is recognized and their parameters are measured. Hence, the presence of CVD is recognized through the retinal images are detected in this paper.
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The authors declare that they have no conflicts of interest.
Dr. S. Palanivelrajan is currently working as Associate Professor, Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, Tamilnadu, India. He completed his PhD in Faculty of Information and Communication Engineering, Anna University Chennai, India. M.E in Communication Systems, Thiagarajar College of Engineering, Madurai, Tamilnadu, India. B.E in Electronics and Communication Engineering, from Raja College of Engineering and Technology, Madurai, Tamilnadu, India. He is an Executive Editor, Editor-in-Chief, Editorial Board Member and also acting as Reviewer in many SCI, SCIE and SCOPUS indexed Journals. He has presented more than 55 technical papers in various International/National Conferences. He has also published more than 35 research articles in various SCI, SCIE, SCOPUS and other refereed Journals. In addition to his credit, he holds two PATENTS based on his research work. He received “BEST ARTICLE REVIEWER Award” from few SCOPUS Journals. Based on his Google Scholar page, his individual “H-Index is 16”. His Research Interest includes Antennas, Bio-Signal Processing, Electrocardiography, Telemedicine/Telemetry, Wireless Networks and Wireless Communication. He is an active life member of ISTE, IE (I), IACSIT, ITE, IAAA, IAMI, TSI, BMESI, ISRD, IAENG and IETE.
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Rajan, S.P. Recognition of Cardiovascular Diseases through Retinal Images Using Optic Cup to Optic Disc Ratio. Pattern Recognit. Image Anal. 30, 256–263 (2020). https://doi.org/10.1134/S105466182002011X
- blood vessels
- cardiac disease
- feature extraction
- image segmentation
- neural networks
- retinal vessels
- Support Vector Machines