Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
作者： Zeynettin Akkus & Alfiia Galimzianova & Assaf Hoogi & Daniel L. Rubin & Bradley J. Erickson 時間：2017 Abstract 這篇綜述的目的是提供關於最近基於深度學習的分割方法對腦部MRI（磁共振成像）定量分析的概述。首先我們看一下最新用來分割腦部解剖結構和腦部損傷的深度學習框架。接下來總結和
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相關文章
- 1. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions論文筆記
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