Automatic Detection of Diabetic Eye Disease

Authors

  • Shirin Kermani  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Shamal Deshmukh  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Arati Erande  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Mayur Raysing  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Pallavi Shimpi  Assistant Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Diabetic, Perceptron, Perceptron, Segmented.

Abstract

Recent technologies in diabetic user our aim at reducing unnecessary visits to medical specialists, reduse visiting time overall cost of treatment and optimizing the number of patients seen by each doctor. To detect diabetic diseased eye, here Support Vector Machine classifier is used for classification and their performance are compared. Extraction of features is performed on the segmented images of the breast. Multilayer neural perceptron network based on supervised technique of machine learning is used to classify breast thermo grams as normal, benign and perceptron.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

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Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Shirin Kermani, Shamal Deshmukh, Arati Erande, Mayur Raysing, Prof. Pallavi Shimpi, " Automatic Detection of Diabetic Eye Disease , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.135-139, September-October-2019.