Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach 嚴格意義來說不算StyleTransfer，但還沒開新的分類，暫且放到風格遷移類吧。 基於生成對抗網絡完成超低標註的視網膜血管分割 Abstract 藉助深度學習進行醫學圖像分割之前往往需要該領域的專
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相關文章
- 1. 《Dense Residual Network for Retinal Vessel Segmentation》
- 2. Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach
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- 4. 論文閱讀——Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks
- 5. 論文閱讀——A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- 6. [Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks
- 7. Attention Guided Network for Retinal Image Segmentation
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- 9. Generative Adversarial Network 3 WGAN/ EBGAN
- 10. Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein