By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

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In this article, we propose an unsupervised deep learning method for positron emission tomography (PET) reconstruction from incomplete data. This method utilizes the so-called deep image prior (DIP) ...

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Hyperspectral images (HSIs) contain rich spatial and spectral information, while light detection and ranging (LiDAR) data can provide elevation details. Effectively fusing HSI and LiDAR data can help ...

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