This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring;...
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, method...
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring;...
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, method...
This book discusses outcome modeling in cancer using analytical and data-driven approaches, both top-down using big data approaches and bottom-up using multi-scale methods. It provides in-depth mathematical background as well as intuitive physical and biological perspectives. Applications in radiation oncology, chemotherapy, surgery and immunotherapy are covered, as well as - in the case of multimodality treatments - span assessment, prediction, prognosis, decision support and clinical trials design. This is in addition to statistical validation of performance and evaluating applicability....
This book discusses outcome modeling in cancer using analytical and data-driven approaches, both top-down using big data approaches and bottom-up u...
Provides research on recent advances in oncology aiming to improve early detection and personalized treatment of cancer. While highlighting applied methods of therapy, such as body radiotherapy, chemoradiotherapy, and immunotherapy, readers learn about the transforming approach to oncology in modern medicine and new technologies used to diagnose and treat cancer.
Provides research on recent advances in oncology aiming to improve early detection and personalized treatment of cancer. While highlighting applied me...
