Lesion Segmentation in Surgical and Diagnostic Applications
MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings
Seiten
2023
|
1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-27323-0 (ISBN)
Springer International Publishing (Verlag)
978-3-031-27323-0 (ISBN)
This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022.
The peer-reviewed 10 papers included in this volume stem from the following three challenges:
The peer-reviewed 10 papers included in this volume stem from the following three challenges:
- Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022)
The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022)
The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022)
Erscheinungsdatum | 15.03.2023 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XVIII, 87 p. 25 illus., 24 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 177 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Schlagworte | anomaly localization • Artificial Intelligence • brain tumor • computer vision • CT • domain shift and generalization • Image Analysis • Image-Guided Surgery • Image Processing • Image Quality • image reconstruction • Image Segmentation • intra-operative ultrasound • machine learning • MICCAI Challenge • Multi-modality • Neural networks • Object detection • optimisation • pattern recognition • segmentation methods • self-supervised learning • Signal Detection • Signal Processing • tumor diagnosis and mitosis detection • Unsupervised Learning |
ISBN-10 | 3-031-27323-0 / 3031273230 |
ISBN-13 | 978-3-031-27323-0 / 9783031273230 |
Zustand | Neuware |
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