Retina Cancer Detection using Thresholding Approach

Authors

  • Dr. Harsh S Dave  MBBS, SBKS MI & RC, India
  • Dr. Vaishnavi Patel  MD, University of Perpetual Help Systems, Phillipines
  • Dr. Aash Gopalak  MBBS, SBKS MI & RC, India
  • Dr. Harsh Bhatt  MBBS, SBKS MI & RC, India
  • Dr. Sheshang Degadwala  Associate Professor, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dhairya Vyas  Managing Director, Shree Drashti Infotech LLP, Vadodara, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRST207566

Keywords:

2-D Filter, Morphology Operation, Hough Transform, Logical Operation and Thresholding

Abstract

Giant biomedical robots including Lasik machine are used to detect cancer. Picture segmentation is an effective form of image analysis for retinal eye detection. A picture interpretation method for the diagnosis of eye cancer is established in this article. In this scheme, the cancer is divided into various image processing methods and marked on the original image. The pictures are smoothed with two dimensional filters. In order to apply the picture to the original, the backdrop is retracted and results in a better field of interest or region of cancer. The tests have shown that the device indicated is able to detect retina cancer in the eye based on an image threshold. The study suggested comprises of two naming stages, the Eye Detection System and the Smart Retina Cancer Detection System. In the search for eye cancer the results are compared accordingly.

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International Journal of Scientific Research in Science and Technology

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Published

2021-01-28

Issue

Volume 8, Issue 1, January-February-2021

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Harsh S Dave, Dr. Vaishnavi Patel, Dr. Aash Gopalak, Dr. Harsh Bhatt, Dr. Sheshang Degadwala, Dhairya Vyas, " Retina Cancer Detection using Thresholding Approach, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8, Issue 1, pp.276-282, January-February-2021. Available at doi : https://doi.org/10.32628/IJSRST207566