Machine Learning in Medical Physics: Transforming Cancer Treatment

By Gilmer Valdes, a renowned author in the field of medical physics, this groundbreaking book delves into the transformative impact of machine learning and AI techniques on millions of cancer patients undergoing ionizing radiation treatment. The book features insightful contributions from global researchers and clinicians, shedding light on the clinical applications of machine learning in medical physics.

Machine learning and AI have garnered significant attention in recent years and are increasingly being integrated into medical practices. The book introduces general principles and key techniques in machine learning, followed by in-depth discussions on clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. A futuristic outlook on the role of AI in radiation oncology is also provided, giving readers a glimpse into the potential future of cancer treatment.

This comprehensive guide aims to update medical physicists and radiation oncologists on the latest applications of machine learning in medical physics. With detailed descriptions and insightful discussions in each chapter, practitioners will find this book an invaluable resource. The emphasis on clinical applications ensures that the book appeals to a wide audience within the medical physics profession.

Key Features:

• Explores the impact of machine learning and AI on cancer treatment
• Features contributions from global researchers and clinicians
• Covers clinical applications of machine learning in medical physics
• Provides a futuristic look at the role of AI in radiation oncology
• Updates medical physicists and radiation oncologists on the latest trends

Publication Details:

Published by: CRC Press

Publication Date: August 14, 2023

Language: English

ISBN: 9780367538101, 9781000903751