Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition
Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition
Buch
- First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
- Herausgeber: Antonio Pepe, Jan Egger, Gian Marco Melito
- Springer Nature Switzerland, 02/2024
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031532405
- Bestellnummer: 11761741
- Umfang: 156 Seiten
- Nummer der Auflage: 24001
- Auflage: 1st ed. 2024
- Gewicht: 248 g
- Maße: 235 x 155 mm
- Stärke: 9 mm
- Erscheinungstermin: 10.2.2024
- Serie: Lecture Notes in Computer Science - Band 14539
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
This book constitutes the First Segmentation of the Aorta Challenge, SEG. A. 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, on October 8, 2023.The 8 full and 3 short papers presented have been carefully reviewed and selected for inclusion in the book. They focus specifically on robustness, visual quality and meshing of automatically generated segmentations of aortic vessel trees from CT imaging. The challenge was organized as a container submission challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers. Three tasks were created for SEG. A. 2023.
