論文閱讀——A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation
A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation 改善血管分割中拓撲一致性的深度學習設計
from MICCAI2019 Abstract 醫學圖像中廣泛研究的血管分割任務，對許多臨牀應用都產生了重大影響。在可以獲得手動標註信息時許多監督學習方法應用在這上面，主要是通過交叉熵損
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相關文章
- 1. 論文閱讀——A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- 2. 論文閱讀筆記：A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- 3. 閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
- 4. 論文閱讀——Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation
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- 6. 【論文閱讀】Deep Residual Learning for Image Recognition
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- 8. 【論文閱讀】【綜述】Deep Learning for 3D Point Clouds: A Survey
- 9. 論文閱讀- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
- 10. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》