[MIA2019-01]Automatic brain labeling via multi-atlas guided fully convolutional networks

时间 2020-12-30

标签多模分割 MIA 繁體版

原文原文链接

Automatic brain labeling via multi-atlas guided fully convolutional networks 传统上，基于多图集的方法首先将多个图集注册到目标图像，然后将标签从标记的图集传播到未标记的目标图像。但是，配准步骤涉及非刚性对齐，这通常很耗时并且可能缺乏高精度。另外，基于补丁的方法在放宽对精确注册的需求方面已显示出希望，但它们通常需要使用手工制

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1. R-FCN: Object Detection via Region-based Fully Convolutional Networks
2. Video Salient Object Detection via Fully Convolutional Networks
3. Fully Convolutional Networks
4. Fully Convolutional Adaptation Networks for Semantic Segmentation
5. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
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8. FCN(Fully convolutional networks)阅读
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