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Mathematical and Numerical Methods for Accurate Aorta Segmentation from Non-Enhanced ct Data Yielding Reliable Identification and Evaluation of Large Vessel Vasculitis Cover

Mathematical and Numerical Methods for Accurate Aorta Segmentation from Non-Enhanced ct Data Yielding Reliable Identification and Evaluation of Large Vessel Vasculitis

Tatra Mountains Mathematical Publications
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By: Konan A. Allaly,  Jozef Urbán and  Karol Mikula  
Open Access
|Apr 2026
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DOI: https://doi.org/10.2478/tmmp-2026-0005 | Journal eISSN: 1338-9750 | Journal ISSN: 12103195
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Language: English
Submitted on: Nov 12, 2025
Accepted on: Mar 15, 2026
Published on: Apr 22, 2026
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Segmentation,
minimal path,
curve evolution,
large-vessel vasculitis
Related subjects:
Mathematics,
General mathematics

© 2026 Konan A. Allaly, Jozef Urbán, Karol Mikula, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

AHEAD OF PRINT