13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings Drechsler, Klaus. editor. edt http://id.loc.gov/vocabulary/relators/edt Oyarzun Laura, Cristina. editor. edt http://id.loc.gov/vocabulary/relators/edt Freiman, Moti. editor. edt http://id.loc.gov/vocabulary/relators/edt Chen, Yufei. editor. edt http://id.loc.gov/vocabulary/relators/edt Wesarg, Stefan. editor. edt http://id.loc.gov/vocabulary/relators/edt Erdt, Marius. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access X, 96 p. 38 illus., 36 illus. in color. online resource. 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. . 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. edited by Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Stefan Wesarg, Marius Erdt. Computer vision Machine learning Artificial intelligence Computer networks  Social sciences Data processing Computer Vision Machine Learning Artificial Intelligence Computer Communication Networks Computer Application in Social and Behavioral Sciences TA1634 9783031730832 https://doi.org/10.1007/978-3-031-73083-2 https://doi.org/10.1007/978-3-031-73083-2 240929 20251030113115.0 978-3-031-73083-2