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Fast GPU 3D diffeomorphic image registration
3D image registration is one of the most fundamental and computationally expensive operations in medical image analysis. Here, we present a mixed-precision, Gauss–Newton–Krylov solver for diffeomorphic registration of two images. Our work extends the publicly available CLAIRE library to GPU architec...
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| 發表在: | J Parallel Distrib Comput |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7769216/ https://ncbi.nlm.nih.gov/pubmed/33380769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jpdc.2020.11.006 |
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