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 approvalPolicy
The data complies with the institution and funders' policies on access and sharingSharing and access restrictions
The data can be shared openlyData 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
