3D MRI brain tumor segmentation using autoencoder regularization
摘要： 问题： 3DMRI 脑肿瘤分割 方法： 描述了一个编码器解码器的结构，由于训练数据集大小有限，添加变分自动编码器分支以重建输入图像本身，以便使共享解码器正规化并对解码器层施加额外约束。 结果： 2018年挑战第一名 介绍： 前面描述的是脑肿瘤等级，以及介绍数据集 贡献： 1.在这项工作中，我们描述了我们用于多模式3D MRI的体积3D脑肿瘤分割的语义分割方法，该方法赢得了BraTS 2
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相关文章
- 1. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
- 2. Brain tumor segmentation with Deep Neural Networks
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