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cs.CV2018
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression
Jeffrey M. Ede
We present 14 autoencoders, 15 kernels and 14 multilayer perceptrons for electron micrograph restoration and compression. These have been trained for transmission electron microsco…
cs.CV2018
Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder
Jeffrey M. Ede
We present an atrous convolutional encoder-decoder trained to denoise 512512 crops from electron micrographs. It consists of a modified Xception backbone, atrous convoltion…