Attention U-Net: Learning Where to Look for the Pancreas論文筆記
attention u-net論文翻譯筆記 摘要 [外鏈圖片 我們提出了一種新穎的醫學圖像注意力們模型，它能自動學習聚焦在形狀、尺寸變化的目標結構。用AG訓練的模型隱形地抑制輸入圖像的非相關區域，同時強調對指定任務有用的顯著性特徵。這讓我們不必去顯式地使用級聯CNN的組織定位模塊。AG可以輕易的被集成到標準的CNN結構中，比如U-net模型，帶有少量的計算開銷同時能增加模型的敏感性和準確性。提出的
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相關文章
- 1. Attention U-Net: Learning Where to Look for the Pancreas
- 2. 論文閱讀——Attention U-Net: Learning Where to Look for the Pancreas
- 3. 淺談Attention UNet
- 4. Tell Me Where to Look: Guided Attention Inference Network
- 5. GAIN論文解讀 Tell Me Where to Look: Guided Attention Inference Network
- 6. Hierarchical combinatorial deep learning architecture for pancreas segmentation-筆記
- 7. 論文筆記：Learning to See in the Dark
- 8. 論文筆記：Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
- 9. Learning to Paraphrase for Question Answering 論文筆記
- 10. 1606.End--to-End Comparative Attention Networks for Person Re-identification 論文筆記