Tensorflow Unet and Radio Frequency Interference Masking

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This is a generic U-Net implementation as proposed by Ronneberger et al developed with Tensorflow. The code has been developed and used for Radio Frequency Interference mitigation using deep convolutional neural networks.

The network can be trained to perform image segmentation on arbitrary imaging data. Checkout the Usage section or the included Jupyter notebooks for a toy problem or the Radio Frequency Interference mitigation discussed in the paper. See full details https://tf-unet.readthedocs.io/en/latest/