metadata
library_name: keras
tags:
- image-classification
- medical
- oct
- ophthalmology
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")