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Clinical Image-Based Procedures
Details
This book constitutes the proceedings of the 13th Workshop on Clinical Image-Based Procedures, CLIP 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.
The 9 full papers included in this book were carefully reviewed and selected from 11 submissions. They deal with Clinical image-based procedures, focusing on holistic patient models as an important step towards personalized healthcare.
Inhalt
CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: an Application to Adaptive Radiation Therapy.- Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation.- Automated Multi-View Planning for Endovascular Aneurysm Repair Procedures.- HTSeg: Hybrid Two-stage Segmentation Framework for Intestine Segmentation from CT Volumes.- EnPrO: Enhancing Precision Through Optimization in Image-Guided Spine Surgical Procedures.- Patient-specific 3D Burn Size Estimation.- Novel CBCT-MRI Registration Approach for Enhanced Analysis of Temporomandibular Degenerative Joint Disease.- Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging.- Real-time Device Detection with Rotated Bounding Boxes and its Clinical Applications.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031730825
- Herausgeber Springer
- Anzahl Seiten 108
- Lesemotiv Verstehen
- Genre Software
- Editor Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Stefan Wesarg, Marius Erdt
- Sprache Englisch
- Gewicht 178g
- Untertitel 13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
- Größe H235mm x B155mm x T7mm
- Jahr 2024
- EAN 9783031730825
- Format Kartonierter Einband
- ISBN 3031730828
- Veröffentlichung 27.09.2024
- Titel Clinical Image-Based Procedures