1. School of Mathematics, Northwest University, Xi′an 710127 2. Hepatobiliary Surgery, First Affiliated Hospital, Xi′an Jiaotong University, Xi′an 710061 3. School of Information Science and Technology, Northwest University, Xi′an 710127
Abstract：Due to the high anatomical variability of pancreas, it is difficult for automated segmentation algorithms to achieve accurate localization of the target. To solve this problem, an encoder-decoder network embedded with compressive sampling is proposed. By training the network in different stages, the segmentation network can cascade the prior knowledge of pancreas location perceived from the label space in the pre-trained stage. Thus, the precise positioning of the pancreas is realized and the consistency between the segmentation result and the label is ensured. The experimental results of pancreas segmentation show that the performance of the proposed network is better.
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2021, Vol. 34 
