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---
license: mit
tags:
- medical
- brain-disease
- image-classification
- stroke
---
# Stroke Detection Model
This model detects stroke from brain MRI scans.
## Model Details
- **Architecture**: CONVNEXT
- **Task**: Image Classification
- **Classes**: 2
- **Input Size**: 224x224
## Labels
- 0: Normal
- 1: Stroke
## Usage
```python
from transformers import AutoFeatureExtractor, AutoModelForImageClassification
from PIL import Image
model_name = "dhineshkmar/stroke"
feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
model = AutoModelForImageClassification.from_pretrained(model_name)
image = Image.open("brain_scan.jpg")
inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
predicted_class = outputs.logits.argmax(-1).item()
```
## Training
Trained on brain MRI scan dataset for stroke detection.
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