SPRI | Image-Based Computer-Assisted Radiation Therapy (2017 EN)

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  1. Kanka

    Kanka Well-Known Member Loyal User

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    Author: Hidetaka Arimura (Editor)
    Full Title: Image-Based Computer-Assisted Radiation Therapy
    Publisher: Springer; 1st ed. 2017 edition (February 4, 2017)
    Year: 2017
    ISBN-13: 9789811029455 (978-981-10-2945-5), 9789811029431 (978-981-10-2943-1)
    ISBN-10: 9811029458, 9811029431
    Pages: 381
    Language: English
    Genre: Medicine: Radiology
    File type: PDF (True)
    Quality: 10/10
    Price: 163.27 €


    This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy.

    In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy.

    All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.

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