Multi-class Segmentation of the Aorta
AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings
Springer
ISBN 978-3-032-14245-0
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2026
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-032-14245-0
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Lecture Notes in Computer Science
Produktbeschreibung
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).
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg, DE
ProductSafety@springernature.com
BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
