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Try to realize Quadratic Autoencoder for Low-Dose CT Denoising using PyTorch

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PyTorch-QAE-for-Low-Dose-CT-Denoising

Try to implement Quadratic Autoencoder for Low-Dose CT Denoising using PyTorch

Paper: Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising

This repository refers to https://github.com/FengleiFan/QAE

The QAE-Net is implemented in model.py, it is possible to integrate various loss functions into this quadratic autoencoder.

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Try to realize Quadratic Autoencoder for Low-Dose CT Denoising using PyTorch

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