D

DR Classifier

Developed by MahimaTayal123
A diabetic retinopathy classification model based on Vision Transformer (ViT) architecture for automatic analysis of fundus images
Downloads 33
Release Time : 11/24/2024

Model Overview

This model is a fine-tuned Vision Transformer model based on google/vit-base-patch16-224-in21k, specifically designed for medical diagnostic assistance in diabetic retinopathy.

Model Features

High Accuracy
Achieves 94.2% accuracy on the validation set, effectively identifying diabetic retinopathy
Medical Imaging Optimization
Fine-tuned specifically for fundus images to enhance performance on medical imaging
Lightweight Architecture
Based on ViT-base architecture, maintaining performance while controlling model size

Model Capabilities

Fundus Image Classification
Diabetic Retinopathy Detection
Medical Image Analysis

Use Cases

Medical Diagnosis
Diabetic Retinopathy Screening
Automatically analyzes fundus images to identify signs of diabetic retinopathy
Validation accuracy 94.2%
Ophthalmology Research Assistance
Provides automated image analysis tools for ophthalmology research
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