Trained neural networks and slice analysis material for 'The life and afterlife of an ancient Egyptian cat reconstructed by µCT'
Authors/Creators
- 1. Department of Bioengineering, McGill University
Contributors
Data collector:
- 1. Department of Electrical and Computer Engineering, McGill University
Description
These datasets are supplementary files for a bioarchaeology manuscript currently in review: 'The life and afterlife of an ancient Egyptian cat reconstructed by µCT' [UPDATE REQUIRED, add publishing info later below].
Each neural network was trained in Dragonfly 3D World to segment micro-CT reconstructions of four different cat specimens achieved at variable image resolutions. Neural networks 1-6 and 8 were custom trained by the authors using Dragonfly 3D World 2025.1, while the 'Pre-trained' model was trained by the Dragonfly team.
'egyptian-cat-mummy-microct-main.zip' refers to a GitHub repository hosting the data, code, macro and supplementary methods text required to reproduce a slice analysis of nasal turbinates in the four cats featuring in this study. [add Github link when published]
Original micro-CT reconstruction datasets and segmentations are available in the Federated Research Data Repository: doi:10.20383/103.01845.
Files
Cats_Model1_RM2728.1_skeleton_stitch_AD_P.zip
Files
(431.8 MB)
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Additional details
Funding
- Natural Sciences and Engineering Research Council
- Mitacs Alliance Grant ALLRP 590252-23
- Natural Sciences and Engineering Research Council
- Mitacs Alliance Grant MITACS IT38134 ACC
- Fonds de Recherche du Québec – Nature et Technologies
- 2023-NOVA31584
- New Frontiers in Research - Exploration
- NFRFE-2021-00158