---
license: mit
tags:
- medical
- brain-disease
- image-classification
- multiplesclerosis
---

# Multiplesclerosis Detection Model

This model detects multiplesclerosis from brain MRI scans.

## Model Details
- **Architecture**: VIT
- **Task**: Image Classification
- **Classes**: 4
- **Input Size**: 224x224

## Labels
- 0: Control-Axial
- 1: Control-Sagittal
- 2: MS-Axial
- 3: MS-Sagittal

## Usage

```python
from transformers import AutoFeatureExtractor, AutoModelForImageClassification
from PIL import Image

model_name = "dhineshkmar/multiplesclerosis"
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 multiplesclerosis detection.