WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution Network
Boyuan Ma,
Chuni Liu,
Xiaojuan Ban
et al.
Abstract:Deep learning has driven great progress in natural and biological image processing. However, in materials science and engineering, there are often some flaws and indistinctions in material microscopic images induced from complex sample preparation, even due to the material itself, hindering the detection of target objects. In this work, we propose WPU-net that redesign the architecture and weighted loss of U-Net to force the network to integrate information from adjacent slices and pay more attention to the to… Show more
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