AI-driven Medical Image Analysis in Precision Radiation Therapy
Series: Imaging in Medical Diagnosis and Therapy;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 27 May 2026
- ISBN 9781032716008
- Binding Hardback
- No. of pages306 pages
- Size 254x178 mm
- Language English
- Illustrations 14 Illustrations, black & white; 51 Illustrations, color; 12 Halftones, black & white; 23 Halftones, color; 2 Line drawings, black & white; 28 Line drawings, color; 18 Tables, black & white 700
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Short description:
AI-driven Medical Image Analysis in Precision Radiation Therapy provides a comprehensive overview of the latest developments in artificial intelligence for medical imaging, focusing on applications in precision radiation therapy.
MoreLong description:
AI-driven Medical Image Analysis in Precision Radiation Therapy provides a comprehensive overview of the latest developments in artificial intelligence for medical imaging, focusing on applications in precision radiation therapy. Written by a team of experts, it offers an accessible perspective on how AI is transforming cancer treatment for a broad audience, from computer science and engineering to the medical sector. The text covers key techniques such as image synthesis, segmentation, and registration, but its primary focus is on practical clinical applications. It showcases recent studies in image-guided and adaptive radiation therapy, real-time tumor motion tracking, and treatment response assessment for both photon and proton therapies. Furthermore, the book addresses the real-world challenges of implementing these AI techniques in a clinical setting, equipping readers with the practical knowledge needed for successful integration. It is an essential guide for students and newcomers, as well as a valuable reference for experienced medical physicists and radiation oncologists.
Key Features:
- Provides in-depth coverage of cutting-edge AI applications in medical image processing, including image synthesis, segmentation, and registration techniques specifically designed for radiation therapy contexts.
- Discusses real-world implementations of AI-driven technologies in precision radiation therapy.
- Addresses the practical challenges of integrating AI systems into clinical workflows.
Table of Contents:
Introduction. Chapter 1 Medical Image Synthesis. Chapter 2 Medical Image Segmentation. Chapter 3 Medical Image Registration. Chapter 4 Empowering Innovation in Medical Imaging with AI-Based Radiomics. Chapter 5 Vision-Language Models for Medical Image Analysis. Chapter 6 AI-driven Image-Guided Radiation Therapy. Chapter 7 Adaptive Radiation Therapy. Chapter 8 Motion Management in Radiation Therapy. Chapter 9 Proton and Flash Therapy. Chapter 10 Artificial Intelligence in Brachytherapy. Chapter 11 Treatment Response Assessment and Prediction. Chapter 12 The Promise and Peril of AI in Clinical Practice. Perspectives. Bibliography. Index.
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