This project uses the 2D U-Net architecture to make a machine learning model to segment a brain tumor in an MRI scan of brain. This project was done in Python and used various libraries and frameworks including Tensorflow (keras), numpy, pandas, and more. This program creates 4 different U-Net models, each with different depth (2, 3, 4, and 5). …
python
machine-learning
deep-learning
tensorflow
keras
unet
artifical-intelligense
google-colab
brain-tumor-segmentation
2d-unet
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Updated
Jan 30, 2021 - Jupyter Notebook