Daniel Telman
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View article: Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data
Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data Open
Background Convolutional neural network (CNN)–based methods have shown excellent performance in denoising and reconstruction of super-resolved structured illumination microscopy (SR-SIM) data. Therefore, CNN-based architectures have been t…