Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition : First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
1st ed. 2024
Book Details
Format
Paperback / Softback
Book Series
Lecture Notes in Computer Science
ISBN-10
3031532406
ISBN-13
9783031532405
Edition
1st ed. 2024
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 10th, 2024
Print length
142 Pages
Product Classification:
Social research & statisticsSocial research and statisticsEducational equipment & technology, computer-aided learning (CAL)Educational equipment and technology, computer-aided learning (CAL)Electronics engineeringDigital and Information technology: general topicsInformation technology: general issuesImage processing
Ksh 9,000.00
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This book constitutes the First Segmentation of the Aorta Challenge, SEG.A. The challenge was organized as a ”container submission” challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers.
This book constitutes the First Segmentation of the Aorta Challenge, SEG.A. 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, on October 8, 2023. The 8 full and 3 short papers presented have been carefully reviewed and selected for inclusion in the book. They focus specifically on robustness, visual quality and meshing of automatically generated segmentations of aortic vessel trees from CT imaging. The challenge was organized as a ”container submission” challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers. Three tasks were created for SEG.A. 2023.
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