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Multi-class Segmentation of the Aorta

Multi-class Segmentation of the Aorta

Softcover - 9783032142450
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Beschreibung

This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024. 

The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA).

 

AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings

Details

Verlag Springer International Publishing
Ersterscheinung 28. Januar 2026
Maße 23.5 cm x 15.5 cm
Gewicht 219 Gramm
Format Softcover
ISBN-13 9783032142450
Seiten 123

Schlagwörter

Bildverarbeitung, Computational Science and Engineering, Computer Imaging - Vision - Pattern Recognition and Graphics, Computer Vision, Machine Learning, Maschinelles Lernen, Maschinelles Sehen - Bildverstehen, Numerische Mathematik

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