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OCT Image Classifier

A deep learning model for classifying OCT (Optical Coherence Tomography) images into four categories:

  • CNV (Choroidal Neovascularization)
  • DRUSEN
  • NORMAL
  • DME (Diabetic Macular Edema)

Model Details

  • Framework: Keras/TensorFlow
  • Input: 224x224 RGB images (adjust if different)
  • Output: 4-class probabilities
  • Classes: ['CNV', 'DRUSEN', 'NORMAL', 'DME']

Usage

from transformers import pipeline

classifier = pipeline("image-classification", "sumitt8085/oct_classifier")
result = classifier("oct_image.jpg")
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