Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction

Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction

Summary: Decreasing projection views to a lower X-ray radiation dose usually leads to severe streak artifacts. To improve image quality from sparse-view data, a multi-domain integrative Swin transformer network (MIST-net) was developed and is reported in this article. First, MIST-net incorporated la...

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Bibliographic Details
Main Authors: Jiayi Pan, Heye Zhang, Weifei Wu, Zhifan Gao, Weiwen Wu
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Patterns
Subjects:
DSML 3: Development/pre-production: Data science output has been rolled out/validated across multiple domains/problems
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389922000836

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http://www.sciencedirect.com/science/article/pii/S2666389922000836

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