Clinical Image-Based Procedures - 13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

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. 

List of contents

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.

Product details

• Assisted by: Yufei Chen (Editor), Klaus Drechsler (Editor), Marius Erdt (Editor), Moti Freiman (Editor), Moti Freiman et al (Editor), Cristina Oyarzun Laura (Editor), Stefan Wesarg (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 26.10.2024
• EAN: 9783031730825
• ISBN: 978-3-0-3173082-5
• No. of pages: 96
• Dimensions: 155 mm x 6 mm x 235 mm
• Weight: 178 g
• Illustrations: X, 96 p. 38 illus., 36 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software