Multi-class Segmentation of the Aorta

Muhammad Imran

ISBN 10: 3032142458 / ISBN 13: 9783032142450

Published by Springer, Springer Jan 2026, 2026

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.

Seller Inventory # 9783032142450

Bibliographic Details

• Title: Multi-class Segmentation of the Aorta
• Publisher: Springer, Springer Jan 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 3032142458
• ISBN 13: 9783032142450
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 219 grams

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).