Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography
Author:
Affiliation:
1. University of California,Los Angeles
2. University of California,Santa Barbara
3. Cal State University,Fullerton
4. Pepperdine University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9706406/9706408/09707056.pdf?arnumber=9707056
Reference38 articles.
1. Pyramid Scene Parsing Network
2. Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood
3. Learning to segment under various forms of weak supervision
4. Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision
5. RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation
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