Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks

Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks

Summary: Due to lack of the kernel awareness, some popular deep image reconstruction networks are unstable. To address this problem, here we introduce the bounded relative error norm (BREN) property, which is a special case of the Lipschitz continuity. Then, we perform a convergence study consisting...

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Bibliographic Details
Main Authors: Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Patterns
Subjects:
DSML2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389922000551

Internet

http://www.sciencedirect.com/science/article/pii/S2666389922000551

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