https://github.com/asHauptmann/DeepDbar
https://github.com/asHauptmann/DeepDbar
Last synced: 11 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/asHauptmann/DeepDbar
- Owner: asHauptmann
- Created: 2018-02-26T15:34:11.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-07-04T09:31:46.000Z (over 6 years ago)
- Last Synced: 2024-10-27T22:32:12.562Z (over 1 year ago)
- Language: Python
- Size: 36.1 KB
- Stars: 15
- Watchers: 3
- Forks: 3
- Open Issues: 1
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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: a.hauptmann@ucl.ac.uk
- 26 February 2018: First commit
- 30 June 2018: Python codes for evaluation of KIT4 data uploaded. (Network files too large)