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Machine Learning in Radiation Oncology Theory and Applications

  • Erscheinungsdatum: 19.06.2015
  • Verlag: Springer-Verlag
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Machine Learning in Radiation Oncology

?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; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Produktinformationen

    Format: PDF
    Kopierschutz: AdobeDRM
    Seitenzahl: 336
    Erscheinungsdatum: 19.06.2015
    Sprache: Englisch
    ISBN: 9783319183053
    Verlag: Springer-Verlag
    Größe: 12711kBytes
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