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Dealing with Topological Information Within a Fully Convolutional Neural Network

机译:在全卷积神经网络中处理拓扑信息

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A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed in this paper to solve this problem, based on pre-processing with a geodesic operator. It is applied to the segmentation of histological images of pigmented reconstructed epidermis acquired via Whole Slide Imaging.
机译:全卷积神经网络的接收域有限,因此无法利用全局信息(例如拓扑信息)。本文提出了一种基于测地线算子预处理的解决方案。它适用于通过全玻片成像获得的色素重建表皮的组织学图像分割。

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