【文獻】Predicting Silice-to-Volume Transformation in Presence of Arbitrary Subject Motion
【Method】 數據集生成： 用來訓練和驗證的slices由n個三維體Ω產生。每個volume包含一個期望的ROI，集中在原點並且重採樣成長度爲L的立方體體素，間隔1x1x1 mm。L/4 採樣平面，間隔4mm並且尺寸爲LxL，在Z軸上均勻分佈。位於Ω末端的slices可能包含很少或者沒有包含這些內容。如果一個特別的slice的方差低於閾值t，那麼將會被忽略掉。 爲了獲得密集
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相關文章
- 1. Rigid Motion and Homogeneous Transformation
- 2. Hyperspectral Image Classification in the Presence of Noisy Labels
- 3. 【論文筆記】Reaching agreement in the presence of faults (EIG)
- 4. 【文獻】Fast Volume Reconstruction from Motion Corrupted Stacks of 2D Slices
- 5. Business Transformation in the Age of the API
- 6. 《End-to-End Learning of Motion Representation for Video Understanding》文獻閱讀
- 7. 1.9 The matrix of a linear transformation
- 8. Designing 2D Vector Fields of Arbitrary Topology
- 9. 系統分析Hyperspectral Image Classification in the Presence of Noisy Labels
- 10. Arbitrary File Download Vulnerability in MyuCMS