Multi-class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings (Lecture Notes in Computer Science, 16399)

Imran, Muhammad (Editor)/ Cooper, Michol A. (Editor)/ Krebs, Jonathan R. (Editor)/ Ma, Jun (Editor)/ Zhou, Yuyin (Editor)/ Shao, Wei (Editor)

ISBN 10: 3032142458 / ISBN 13: 9783032142450

Published by Springer, 2026

About this Item

133 pages. 6.14x0.30x9.21 inches. In Stock.

Seller Inventory # x-3032142458

Bibliographic Details

• Title: Multi-class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings (Lecture Notes in Computer Science, 16399)
• Publisher: Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 3032142458
• ISBN 13: 9783032142450
• Binding: Paperback
• Condition: Brand New
• Weight: 0.2 kilograms

About this title

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).