tonyanyanwu5448/nzube-glaucoma-detection-model

Glaucoma Detection Model

This model detects glaucoma from fundus (retinal) images using deep learning.

Model Details

• Model Type: Image Classification (Binary)
• Base Architecture: MobileNetV2
• Input: Fundus images (224x224 pixels)
• Output: Binary classification (Glaucoma/No Glaucoma)
• Framework: TensorFlow → ONNX

Usage with Transformers.js

import { pipeline } from '@huggingface/transformers';

// Create image classification pipeline
const classifier = await pipeline(
  'image-classification',
  'tonyanyanwu5448/nzube-glaucoma-detection-model'
);

// Classify fundus image
const result = await classifier('path/to/fundus-image.jpg');
console.log(result);


Classes
Class 0: No Glaucoma
Class 1: Glaucoma

Medical Disclaimer:
This model is for research purposes only and should not be used for medical diagnosis without professional medical consultation.