Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation
MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Seiten
2025
Springer International Publishing (Verlag)
978-3-031-96201-1 (ISBN)
Springer International Publishing (Verlag)
978-3-031-96201-1 (ISBN)
This book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024.
The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose.
This challenge focuses on both organ and pan-cancer segmentation, including three subtasks:
Subtask 1: Pan-cancer segmentation in CT scans
Subtask 2: Abdominal CT organ segmentation on laptop
Subtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans
| Erscheinungsdatum | 13.06.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XI, 270 p. 73 illus., 70 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 | 3-031-96201-X / 303196201X |
| ISBN-13 | 978-3-031-96201-1 / 9783031962011 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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