Neural Architecture Search for Adversarial Medical Image Segmentation
作者： Nanqing Dong , Min Xu , Xiaodan Liang , Yiliang Jiang , Wei Dai
DOI: 10.1007/978-3-030-32226-7_92
关键词:
摘要: Adversarial training has led to breakthroughs in many medical image segmentation tasks. The network architecture design of the adversarial networks needs leverage human expertise. Despite fact that discriminator plays an important role process, it is still unclear how optimal discriminator. In this work, we propose a neural search framework for segmentation. We automate process with continuous relaxation and gradient-based optimization. empirically analyze evaluate proposed task chest organ explore potential automated machine learning applications. further release benchmark dataset
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sci-hub.st 参考文章(18)
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