Computing and Information Technology, Computer Science, Image Processing

Multi-Class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction With MICCAI 2024, Virtual Event, October 24, 2024, Proceedings

Muhammad Imran (editor-in-chief), Jonathan R. Krebs (editor-in-chief), Michol A. Cooper (editor-in-chief), Jun Ma (editor-in-chief), Yuyin Zhou (editor-in-chief), Wei Shao (editor-in-chief)

Paperback Published on: 28/01/2026

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Synopsis

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).

Publisher information

Publisher: Springer Nature Switzerland
ISBN: 9783032142450
Number of pages: 123
Dimensions: 235 x 155 x 235 mm
Weight: 219g
Languages: English