Radiation Oncology and Medical Physics

This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. General principles and important techniques in machine learning are introduced, followed by a discussion on clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. The book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics.

A comprehensive text detailing the physical principles, dosimetric methods, and clinical implementation of proton beam therapy. It covers foundational particle physics, beam delivery systems, treatment planning algorithms, and quality assurance protocols essential for modern clinical practice.