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Titlebook: Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic V; First Challenge, SEG Antonio Pepe,Gia

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发表于 2025-3-21 19:26:43 | 显示全部楼层 |阅读模式
书目名称Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic V
副标题First Challenge, SEG
编辑Antonio Pepe,Gian Marco Melito,Jan Egger
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic V; First Challenge, SEG Antonio Pepe,Gia
描述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..
出版日期Conference proceedings 2024
关键词multicenter; segmentation; shape modelling; visualization; meshing aorta; CTA; artificial intelligence; sen
版次1
doihttps://doi.org/10.1007/978-3-031-53241-2
isbn_softcover978-3-031-53240-5
isbn_ebook978-3-031-53241-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-53241-2multicenter; segmentation; shape modelling; visualization; meshing aorta; CTA; artificial intelligence; sen
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