Multi-class Segmentation of the Aorta | AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings

Muhammad Imran (u. a.)

ISBN 10: 3032142458 / ISBN 13: 9783032142450

Verlag: Springer, 2026

Multi-class Segmentation of the Aorta | AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings | Muhammad Imran (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2026 | Springer | EAN 9783032142450 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 134509245

Inhaltsangabe:

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).

 

Bibliografische Details

Titel: Multi-class Segmentation of the Aorta | ...
Verlag: Springer
Erscheinungsdatum: 2026
Einband: Taschenbuch
Zustand: Neu