Auto-Segmentation for Radiation Oncology

Name: Auto-Segmentation for Radiation Oncology
Brand: CRC Press

CRC Press

Auto-Segmentation for Radiation OncologyState of the Art\nAuthor(s): Jinzhong Yang, Gregory C. Sharp, Mark J. Gooding\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9780367336004, 978-0367336004\nSynopsis\nThis book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations). \n\nThis book is ane