[MIA2019-01]Automatic brain labeling via multi-atlas guided fully convolutional networks
Automatic brain labeling via multi-atlas guided fully convolutional networks 傳統上，基於多圖集的方法首先將多個圖集註冊到目標圖像，然後將標籤從標記的圖集傳播到未標記的目標圖像。但是，配準步驟涉及非剛性對齊，這通常很耗時並且可能缺乏高精度。另外，基於補丁的方法在放寬對精確註冊的需求方面已顯示出希望，但它們通常需要使用手工制
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相關文章
- 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
- 6. Multi-task Fully Convolutional Network for Brain Tumour Segmentation
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