Skip to content

This is the raw data and core code of the article "Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis"

Notifications You must be signed in to change notification settings

Tsinghua-LEMON-Lab/Medical-image-reconstruction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 

Repository files navigation

Readme

This is the raw data and core code of the article Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis, which is published on Nature Communications with DOI: https://doi.org/10.1038/s41467-023-38021-7. If you want to use this repository, please include the following citations:

Zhao, H., Liu, Z., Tang, J. et al. Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis. Nat Commun 14, 2276 (2023).


As for the raw data, Microsoft Excel and 3D Slicer (4.11.20210226) are needed.

As for the core code, please download all the files in the CORE_CODE folder and run main.m with MATLAB. This code illustrates the MRI and CT image reconstruction process by software.

About

This is the raw data and core code of the article "Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis"

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages