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
Seiten
2024
|
2024
Springer International Publishing (Verlag)
978-3-031-58775-7 (ISBN)
Springer International Publishing (Verlag)
978-3-031-58775-7 (ISBN)
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 | 03.07.2024 |
---|---|
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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