Adversarial Image Registration with Application for MR and TRUS Image Fusion
一、Motivation 1 磁共振（MR）和经直肠超声（TRUS）图像配准是MR-TRUS融合的关键组成部分。 2.由于图像外观之间的巨大差异以及图像对应关系的较大差异。 3 提出了对抗图像配准（AIR）框架。 通过同时训练两个深度神经网络，一个是生成器，另一个是判别器。 4 而且还有一个度量网络，可以帮助评估图像配准的质量。 5 但是，多模式图像配准是一项非常艰巨的任务，因为很难定义鲁棒的图像
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相关文章
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