X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module.

Jinchao FengHu ZhangMengfan GengHanliang ChenKebin JiaZhonghua SunZhe LiCao Xu Brian W Pogue

Published in: Journal of biomedical optics (2023)

This study shows that the three-component deep learning algorithm provides an effective reconstruction method for x-ray Cherenkov-luminescence tomography.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
electron microscopy
high resolution
machine learning
quantum dots
dual energy
magnetic resonance imaging