[論文筆記] SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
文章於2017年6月提交到Arxiv，投稿於 Neuroinformatics (2018)，Published online: 3 May 2018 作者單位：Department of Computer Science and Engineering,Lehigh University 文章截止2019.3.25的引用量爲50 文章代碼見github 這篇文章主要的創新點在於不同於之前的公式化
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相關文章
- 1. SegAN:Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation-筆記
- 2. Adversarial learning with multi-scale loss for skin lesion segmentation
- 3. CE-Net: Context encoder network for 2D medical image segmentation
- 4. Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary(CVPR 2020)論文...
- 5. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 6. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation-論文筆記
- 7. 【論文筆記】Learning Deconvolution Network for Semantic Segmentation
- 8. 《Image-to-Image Translation with Conditional Adversarial Networks》論文筆記
- 9. [論文筆記]Distilling With Residual Network for Single Image Super Resolution
- 10. [論文翻譯]V-Net:Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation