---
license: apache-2.0
datasets:
- SilpaCS/Augmented_alzheimer
language:
- en
base_model:
- google/siglip2-base-patch16-224
pipeline_tag: image-classification
library_name: transformers
tags:
- Alzheimer
- Stage-Classifier
- SigLIP2
---


# **Alzheimer-Stage-Classifier**

> **Alzheimer-Stage-Classifier** is a multi-class image classification model based on `google/siglip2-base-patch16-224`, designed to identify stages of Alzheimer’s disease from medical imaging data. This tool can assist in **clinical decision support**, **early diagnosis**, and **disease progression tracking**.

---

## **Label Classes**

The model classifies input images into the following stages of Alzheimer’s disease:

```
0: MildDemented  
1: ModerateDemented  
2: NonDemented  
3: VeryMildDemented
```

---

## **Installation**

```bash
pip install transformers torch pillow gradio
```

---

## **Example Inference Code**

```python
import gradio as gr
from transformers import AutoImageProcessor, SiglipForImageClassification
from PIL import Image
import torch

# Load model and processor
model_name = "prithivMLmods/Alzheimer-Stage-Classifier"
model = SiglipForImageClassification.from_pretrained(model_name)
processor = AutoImageProcessor.from_pretrained(model_name)

# ID to label mapping
id2label = {
    "0": "MildDemented",
    "1": "ModerateDemented",
    "2": "NonDemented",
    "3": "VeryMildDemented"
}

def classify_alzheimer_stage(image):
    image = Image.fromarray(image).convert("RGB")
    inputs = processor(images=image, return_tensors="pt")

    with torch.no_grad():
        outputs = model(**inputs)
        logits = outputs.logits
        probs = torch.nn.functional.softmax(logits, dim=1).squeeze().tolist()

    prediction = {id2label[str(i)]: round(probs[i], 3) for i in range(len(probs))}
    return prediction

# Gradio Interface
iface = gr.Interface(
    fn=classify_alzheimer_stage,
    inputs=gr.Image(type="numpy"),
    outputs=gr.Label(num_top_classes=4, label="Alzheimer Stage"),
    title="Alzheimer-Stage-Classifier",
    description="Upload a brain scan image to classify the stage of Alzheimer's: NonDemented, VeryMildDemented, MildDemented, or ModerateDemented."
)

if __name__ == "__main__":
    iface.launch()
```

---

## **Applications**

* **Early Alzheimer’s Screening**
* **Clinical Diagnosis Support**
* **Longitudinal Study & Disease Monitoring**
* **Research on Cognitive Decline**