---
tags:
- image-classification
- medical-imaging
- cataract
- resnet18
- pytorch
- interpretability
license: mit

datasets:
- other
language: en
---

# Cataract Detection ResNet18 Model

Trained on ~1170 clinical images (binary: cataract vs non-cataract).

**Architecture**: ResNet18  
**Image Size**: 224x224  
**Train Accuracy**: 100%  
**Test Accuracy**: 97.16%  
**Use**: Baseline model for severity grading project

###  Future Steps
- Grad-CAM to interpret focus region (pupil/lens)
- Region-based unsupervised feature extraction
- Clustering for cataract severity grading