Keras CT Segmentation v.1

Software · Wed Jan 20 00:00:00 EST 2021

DOI:https://doi.org/10.11578/dc.20220802.3· OSTI ID:1879216 · Code ID:78111

Ganter, Tyler ^[1]; Martinez, Carianne ^[1]; Potter, Kevin ^[1]; LaBonte, Tyler ^[1]

---

1. Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

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.

• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: SCR #2589
• Software Type: Scientific
• Version: .1
• License(s): MIT License
• Programming Language(s): Python
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

  ---

  Primary Award/Contract Number:

  NA0003525
• DOE Contract Number: NA0003525
• Code ID: 78111
• OSTI ID: 1879216
• Country of Origin: United States