Brainscan Tfjs

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);

group1-shard3of7.bin

bin · 4.00 MB · SHA-256 9731b99d7907…578c · Hugging Face

--- 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); ```