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Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy

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Figure

Fig. 2 Structure of motion correction based on convolutional neural network
Fig.The structure of the CNN in this work is illustrated in 2. The images with the motion artifacts used fortraining were obtained from the ground-truth image
Fig. 6 Results using different kernel sizes

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