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Kidney and Kidney Tumor Segmentation MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /

This book constitutes the Third International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023. The challenge took place in Vancouver, BC, Cana...

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Ente Autore: SpringerLink (Online service)
Altri autori: Heller, Nicholas (Redattore), Wood, Andrew (Redattore), Isensee, Fabian (Redattore), Rädsch, Tim (Redattore), Teipaul, Resha (Redattore), Papanikolopoulos, Nikolaos (Redattore), Weight, Christopher (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:Lecture Notes in Computer Science, 14540
Soggetti:
Image processing > Digital techniques.
Computer vision.
Application software.
Machine learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Accesso online:https://doi.org/10.1007/978-3-031-54806-2
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Riassunto:This book constitutes the Third International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023. The challenge took place in Vancouver, BC, Canada, on October 8, 2023. The 22 contributions presented in this book were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of kidneys, renal tumors and renal cysts.
Descrizione fisica:X, 164 p. 76 illus., 73 illus. in color. online resource.
ISBN:9783031548062
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-54806-2

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