https://github.com/asHauptmann/DeepDbar

https://github.com/asHauptmann/DeepDbar

Last synced: 13 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/asHauptmann/DeepDbar
• Owner: asHauptmann
• Created: 2018-02-26T15:34:11.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-04T09:31:46.000Z (over 5 years ago)
• Last Synced: 2024-07-31T23:44:35.896Z (3 months ago)
• Language: Python
• Size: 36.1 KB
• Stars: 14
• Watchers: 3
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-eit - DeepDbar - bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. IEEE Transactions on Medical Imaging. *Note: last update 2019.* (EIT Imaging Algorithms)

README

        
# DeepDbar

This repository will collect codes accompanying the publication:

Hamilton & Hauptmann (2018). Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. IEEE Transactions on Medical Imaging.

https://ieeexplore.ieee.org/document/8352045/

Scripts will need Matlab, Python, and TensorFlow

Note: Codes are currently being updated. D-bar reconstructions codes will follow soon. 

If you need the network files please contact: [email protected]

- 26 February 2018: First commit

- 30 June 2018: Python codes for evaluation of KIT4 data uploaded. (Network files too large)