,使X线

Huang Shusong1, Sigovan Monica1, Sixou Bruno1

  • 1CREATIS, CNRS UMR5220, Inserm U630, INSA-Lyon, Université Lyon 1, Université de Lyon, Villeurbanne Cedex, France.

概括

新的深度学习方法可以从CT扫描中改善血液流动的重建. 这些方法使用正确的直角分解 (POD),比传统的医学成像分析方法提供更快,更准确的结果.

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