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thakshana02/
fyp_vad

Name: fyp_vad
Availability: InStock

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Navigate to your repository folder

cd D:\ProjectFYP\fyp_vad

This repository contains models for detecting and classifying Vascular Dementia from MRI scans.

binary_epoch50.h5: Binary classification model (VaD vs. Non-VaD)
- Architecture: VGG16
- Accuracy: 96%
- Input shape: (224, 224, 3)
VGG16_4_real_subclass.h5: Subtype classification model
- Architecture: VGG16
- Accuracy: 86.39%
- Classes: Binswanger, Hemorrhagic, Strategic, Subcortical
- Input shape: (128, 128, 3)

These models are designed to be used with TensorFlow/Keras:

```python import tensorflow as tf

binary_model = tf.keras.models.load_model('binary_epoch50.h5')

subclass_model = tf.keras.models.load_model('VGG16_4_real_subclass.h5') ``` "@ | Out-File -FilePath "README.md" -Encoding utf8

git add README.md git commit -m "Add model documentation" git push