---
license: mit
tags:
- medical
- image-classification
- tensorflowjs
- keras
- brain-tumor
- edge-inference
---

# BrainScan // DenseNet Brain Tumor Classification Model (TF.js format)

This repository contains the weights and topology of the **BrainScan** classification model converted to TensorFlow.js layers format for in-browser client-side execution. 

## Model Files

* `model.json`: Patched TensorFlow.js Functional Model topology (Keras 3 compatible).
* `group1-shard*of7.bin`: Binary weights shards.
* `model/brain_tumor_model.h5`: The raw, pre-converted Keras H5 model.
* `model/BrainScan_Model_Training.ipynb`: Jupyter notebook containing the DenseNet model definition and training history.

## Classes

The model classifies T1/T2 brain MRI scans into four distinct categories:
1. `glioma`
2. `meningioma`
3. `notumor` (Normal)
4. `pituitary`

## Usage in TensorFlow.js

```javascript
const model = await tf.loadLayersModel('https://huggingface.co/grvsnh/brainscan-tfjs/resolve/main/model.json');
const prediction = model.predict(imageTensor);
```