MS3SEG

1
ā€”
by
Bawil
Other
OTHER
New
0 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

šŸš€ Quick Startbash
pip install tensorflow>=2.10.0 nibabel numpy
šŸš€ Quick Startpython
from tensorflow import keras
from huggingface_hub import hf_hub_download
import numpy as np

# Download model
model_path = hf_hub_download(
    repo_id="Bawil/MS3SEG",
    filename="models/multi_class/U-Net_fold4.h5"
)

# Load model
model = keras.models.load_model(model_path, compile=False)

# Prepare your data (256x256 FLAIR image)
# image shape: (batch, 256, 256, 1)
predictions = model.predict(image)

# For multi-class: get class labels
pred_classes = np.argmax(predictions, axis=-1)
# Classes: 0=background, 1=ventricles, 2=normal WMH, 3=abnormal WMH

# For binary: apply threshold
pred_binary = (predictions > 0.5).astype(np.uint8)

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