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DOE OSTI · code-78111

Keras CT Segmentation v.1

Abstract

SAND2020-14119 O A Tensorflow and Keras-backed framework for learned segmentation methods of 3D CT scan volumes. Supported functionality includes training models, running inference and quantifying uncertainty. The main underlying model architecture is V-Net. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

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BibTeXRIS

Ganter, Tyler, Martinez, Carianne, Potter, Kevin, LaBonte, Tyler. 2021-01-20. Keras CT Segmentation v.1. https://doi.org/10.11578/dc.20220802.3

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