DEEP LEARNING CLASSIFICATION OF OPTICAL COHERENCE TOMOGRAPHY RETINAL IMAGES

• Author(s):

  Mrs.Saranya M | Karthikeyan K | Naveen Kumar A | Nithish K | Vinayagam R S

• Keywords:

  Deep Learning, Preprocessing, Classification Of OCT Images, Retinal Imaging, ResNet-50 Model Using, Convolutional Neural Networks (CNN), Google Colab.

• Abstract:

  This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50 Model. The Rese

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Other Details

• Paper id:

  IJSARTV10I489694

• Published in:

  Volume: 10 Issue: 4 April 2024

• Publication Date:

  2024-04-12

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