News Release

Egyptian mummified animals can be accurately visualized with automated "virtual segmentation" method

Peer-Reviewed Publication

PLOS

Fig 11. Rendering of the mummy MHNGr.ET.1023 (dog).

image: A: external aspect of the remaining bandages (segmentation ASEMI NN), B: rendering of the preserved soft parts of the puppy (segmentation ASEMI NN), C: rendering of the bones (segmentation U-Net), D: detail on the soft parts showing its weak preservation state through holes certainly caused by pests or putrefaction (segmentation U-Net), E: rendering of the decidual and permanent dentition of puppy showing its young age (segmentation U-Net). view more 

Credit: Tanti et al., 2021, PLOS ONE, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Egyptian mummified animals can be accurately visualized with automated "virtual segmentation" method

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Article URL:  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260707

Article Title: Automated segmentation of microtomography imaging of Egyptian mummies

Author Countries: France, Malta

Funding: The Automated SEgmentation of Microtomography Imaging (ASEMI) project has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 


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