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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Motonori Akagi1, Yuko Nakamura2, Toru Higaki1

  • 1Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

European Radiology
|April 13, 2019
PubMed
Abstract

Keywords:
Artificial intelligenceLiverMachine learningNeural networks (computer)X-ray computed tomography

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