Artificial Intelligence in Radiation Oncology and Biomedical Physics (Imaging in Medical Diagnosis and Therapy)

This groundbreaking book provides a comprehensive overview of the intersection of machine learning and radiation oncology, exploring how AI can improve patient outcomes in cancer treatment.

With contributions from leading researchers and clinicians worldwide, it covers the latest techniques and applications in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making.

The book also delves into the future of AI in radiation oncology, providing a visionary look at the potential impact of this technology on the field.

Whether you're a medical physicist or radiation oncologist, this book is an essential resource for staying up-to-date with the latest advances in machine learning and their applications in cancer treatment.