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.
Keep this discovery
Explore connections, maps & timelines
Ganter, Tyler, Martinez, Carianne, Potter, Kevin, LaBonte, Tyler. 2021-01-20. Keras CT Segmentation v.1. https://doi.org/10.11578/dc.20220802.3
Cite the original work for its findings. Save a collection to share your selection of sources.