Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation
MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Seiten
2023
|
1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-23910-6 (ISBN)
Springer International Publishing (Verlag)
978-3-031-23910-6 (ISBN)
This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022.
The 28 full papers presented in this book were carefully reviewed and selected from 48 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 | 23.01.2023 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | IX, 328 p. 130 illus., 123 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 516 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Abdomen • Artificial Intelligence • Bioinformatics • Computed tomography • computer vision • computer vision tasks • Computing Methodologies • distributed computer systems • Image Analysis • Image Processing • Image Segmentation • machine learning • Medical Images • Medical image segmentation • Organ • Scene Understanding • Software Design • Software Quality • Validation • Verification and Validation |
ISBN-10 | 3-031-23910-5 / 3031239105 |
ISBN-13 | 978-3-031-23910-6 / 9783031239106 |
Zustand | Neuware |
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