Titlebook: Machine Learning in Radiation Oncology; Theory and Applicati Issam El Naqa,Ruijiang Li,Martin J. Murphy Book 20151st edition Springer Inter

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Knowledge-Based Treatment Planningm the treating team of a current pending case. This notion of using prior treatment planning information constitutes the underlying principle of the so-called knowledge-based treatment planning (KBTP). In this chapter, we will discuss KBTP and provide some examples highlighting its current status, t

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Treatment Planning Validationand established techniques for detecting errors in radiotherapy. We will discuss the rationale for using machine learning to detect large errors or outliers in radiotherapy treatment plans. As a concrete example, an automated error detection system for radiation treatment plans will be described. Th

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Issam El Naqa,Ruijiang Li,Martin J. MurphyProvides a complete overview of the role of machine learning in radiation oncology and medical physics.Covers the use of machine learning in quality assurance, computer-aided detection, image-guided r

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