International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 10

India | Computer Science Engineering | Volume 10 Issue 7, July 2021 | Pages: 991 - 998


Advance Cataract Onset Detection Using Deep Learning

Aditya Parulekar, Ashwin Martins, Miral Fernandes, Pratikesh Bhat, Pratiksha Shetgaonkar, Dr. Shailendra Aswale

Abstract: Cataract is an illness which induces partial or reversible blindness globally, usually seen in aged people. AI or Artificial Intelligence is the next approach in the technology which specifically focuses on automation and quicker results. Using AI, we can create a system which can used to detect cataract as early as possible by the people. Using AI to determine the results will certainly make it more accurate than being determined through manual means. Human errors are bound to happen which can generally determine the fate of the patient but AI will certainly prompt out the best and accurate result.

Keywords: Machine Learning, Convolution Neural Network, Deep Learning, Fundus Imaging, Kaggle Dataset



Citation copied to Clipboard!

Rate this Article

5

Characters: 0

Received Comments

No approved comments available.

Rating submitted successfully!


Top