Unsupervised Denoising of Optical Coherence Tomography Images with Dual_Merged CycleWGAN

  title={Unsupervised Denoising of Optical Coherence Tomography Images with Dual\_Merged CycleWGAN},
  author={J. Du and Xujian Yang and Kecheng Jin and Xuanzheng Qi and Hu Chen},
—Nosie is an important cause of low quality Optical coherence tomography (OCT) image. The neural network model based on Convolutional neural networks(CNNs) has demonstrated its excellent performance in image denoising. However, OCT image denoising still faces great challenges because many previous neural network algorithms required a large number of labeled data, which might cost much time or is expensive. Besides, these CNN-based algorithms need numerous parameters and good tuning techniques… 

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