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);
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