《論文閱讀》FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
留個筆記自用 FocalMix: Semi-Supervised Learning for 3D Medical Image Detection 做什麼 3D醫學圖像分割，也是傳統應用了，就是把圖像分成若干個特定的、具有獨特性質的區域並提出感興趣目標的技術和過程，圖中的一個個橙色和藍色的框稱爲錨框，常用不同大小的錨框來進行對目標位置的檢測（即每個錨框代表是正樣本還是負樣本） 做了什麼 目標檢測中常
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相關文章
- 1. 【論文閱讀筆記】An Unsupervised Learning Model for Deformable Medical Image Registration
- 2. 【論文閱讀】Deep Residual Learning for Image Recognition
- 3. 論文閱讀——Deep Residual Learning for Image Recognition
- 4. 【論文閱讀】2020.CVPR.C2FNAS Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
- 5. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 6. 論文閱讀——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION
- 7. Deep Poincare Map for Robost Medical Image Segmentation 論文閱讀
- 8. 文獻閱讀 - Deep Residual Learning for Image Recognition
- 9. 【論文閱讀】Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classifica
- 10. Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation