Analysing Retinal Disease Using Cleha and Thresholding

Authors

  • CH. JAIRAM B.Tech Student, Department of ECE, KKR&KSR Institute of Technology and Sciences, Guntur, AP, India
  • A. MANIKANTA B.Tech Student, Department of ECE, KKR&KSR Institute of Technology and Sciences, Guntur, AP, India.
  • BHARGAV REDDY B.Tech Student, Department of ECE, KKR&KSR Institute of Technology and Sciences, Guntur, AP, India.
  • B. RATNA BABU B.Tech Student, Department of ECE, KKR&KSR Institute of Technology and Sciences, Guntur, AP, India.
  • MRS. T. BHAVANI Associate Professor, Department of ECE, KKR&KSR Institute of Technology and Sciences, Guntur, AP,India

Keywords:

Diabetic based application, Retinopathy, Diabetic Persons, Thresholding, Retinal Disease

Abstract

Diabetic retinopathy (DR) is an important cause of blindness worldwide. However, DR is hard to detected in early stages and the diagnostic procedure can be time-consuming even for experienced experts. Therefore, a computer-aided diagnosis method based on Thresholding algorithms is proposed to automatedly diagnose the referable diabetic retinopathy (RDR) by classifying color retinal fundus photographs.

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Published

2023-05-20

How to Cite

JAIRAM, C., MANIKANTA, A., REDDY, B., BABU, B. R., & BHAVANI, M. T. (2023). Analysing Retinal Disease Using Cleha and Thresholding. International Journal of Communication and Computer Technologies, 10(1), 18–20. Retrieved from https://ijccts.org/index.php/pub/article/view/154

Issue

Vol. 10 No. 1 (2022)

Section

Research Article

License

Copyright (c) 2023 International Journal of communication and computer Technologies

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