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Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT -

Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT

MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Jun Ma, Bo Wang (Herausgeber)

Buch | Softcover
XI, 364 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-58775-7 (ISBN)
CHF 98,85 inkl. MwSt

This book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023.

The 27 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XI, 364 p. 98 illus., 95 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte Abdomen • Artificial Intelligence • Computed tomography • computer vision • computer vision tasks • Computing Methodologies • machine learning • Medical image segmentation • Organ • Scene Understanding
ISBN-10 3-031-58775-8 / 3031587758
ISBN-13 978-3-031-58775-7 / 9783031587757
Zustand Neuware
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