README.md

metadata

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

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