Multi-class Segmentation of the Aorta

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AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24,2024, Proceedings, Lecture Notes in Computer Science 16399

ISBN: 3032142458
ISBN 13: 9783032142450
Herausgeber: Muhammad Imran/Jonathan R Krebs/Michol A Cooper et al
Verlag: Springer Verlag GmbH
Umfang: x, 123 S., 2 s/w Illustr., 32 farbige Illustr., 123 p. 34 illus., 32 illus. in color.
Erscheinungsdatum: 28.01.2026
Auflage: 1/2026
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 8250641 Kategorie:

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).  

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