閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
閱讀論文：Suggestive Annotation: A Deep Active Learning Framework forBiomedical Image Segmentation 本篇論文發表在MICCAI 2017上，作者均來自美國聖母大學，Lin Yang, YizheZhang, Jianxu Chen,均爲華人，文章標題的中文翻譯爲：建議性標註：一種用於生物生物醫學圖像分割的深度主
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相關文章
- 1. 【論文筆記】Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
- 2. Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation-筆記
- 3. 【論文閱讀】Deep Residual Learning for Image Recognition
- 4. 論文閱讀——Deep Residual Learning for Image Recognition
- 5. 論文閱讀之 A Convex Optimization Framework for Active Learning
- 6. Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation-筆記
- 7. 論文閱讀筆記：《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
- 8. 【論文閱讀】SegNet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 9. 論文閱讀——A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- 10. 《U-Net: Convolutional Networks for Biomedical Image Segmentation》論文閱讀