chronomid_program_code.zip (29.59 kB)
Download fileCode used in the study "ChronoMID - cross-modal neural networks for 3-D temporal medical imaging data"
Link to the code used in:
Alexander G. Rakowski, Petar Velickovic, Enrico Dall’Ara, Pietro Liò
-) Computer Laboratory, University of Cambridge, Cambridge, Cambs, United Kingdom
-) Department of Oncology & Metabolism, University of Sheffield, Sheffield, South
Yorkshire, United Kingdom
ChronoMID - cross-modal neural networks for 3-D temporal medical imaging data; Plos One 2020.
The folder includes the codes used to process the images.
A "README.txt" file is added to describe how to run the analyses.
The whole dataset is stored in the University of Sheffield file-store at the link:
https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/
For further information please contact Dr Enrico Dall'Ara: e.dallara@sheffield.ac.uk
Funding
This study was partially supported by the Engineering and Physical Sciences Research Council (MultiSim project, grant number: EP/K03877X/1; ED; https://www.epsrc.ac.uk/), and the National Centre for Replacement, Refinement and Reduction of Animals in Research (NC3Rs, Grant numbers: NC/R001073/1; ED; https://www.nc3rs.org.uk/).
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- There is a readme.txt file describing the methodology, headings and units
