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Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
In this work, we propose a fast and accurate method to reconstruct activations of classification and semantic segmentation networks by stitching them with a GAN generator utilizing a 1x1 convolution.
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist's clinical routine.
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