Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Abstract: This paper investigates using popular deep learning models, Spatial Transformer Networks (STNs), and Recurrent Neural Networks (RNNs) for clinical picture segmentation. STNs are used to ...
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