Hyperspectral Stimulated Raman Scattering Image Enhancement, Denoising and Segmentation via a Deep Neural-Net

Pedram Abdolghader, A. Ridsdale, T. Grammatikopoulos, F. Légaré, A. Stolow, A. Pegoraro, Isaac Tamblyn
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Abstract

We demonstrate the use of an unsupervised convolutional autoencoder neural network to denoise and segment hyperspectral Stimulated Raman Scattering images.
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基于深度神经网络的高光谱受激拉曼散射图像增强、去噪和分割
我们演示了使用无监督卷积自编码器神经网络去噪和分割高光谱受刺激拉曼散射图像。
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