sumitt8085
/

oct_classifier

Image Classification

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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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