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Artificial intelligence (AI) has transformed the medical field, automating and improving various aspects of medical science. In radiotherapy treatment planning, AI algorithms have been developed to better support planners, enhancing accuracy and efficiency in clinical settings.
This comprehensive book provides an in-depth exploration of AI applications in radiation therapy, navigating the clinical radiotherapy workflow. The introductory section highlights the necessity of AI in ensuring accuracy and efficiency, followed by a fundamental learning method and an introduction to potential AI applications in radiotherapy.
The book is divided into systematic chapters, each carefully designed to align with the radiotherapy workflow. The authors provide a detailed perspective on how AI contributes to a futuristic vision of radiotherapy, offering valuable insights for experienced practitioners, researchers, and members of medical physics communities, such as AAPM, ASTRO, and ESTRO.
The book includes typical source codes, enabling readers to implement neural networks in their original work. This feature makes the book an invaluable resource for students and graduate students focusing on medical physics, providing them with the necessary tools to develop AI solutions.
Key features of this book include:
Book Details:
Publisher: Institute of Physics Publishing
Publication Date: December 9, 2022
Language: English
ISBN: 9780750333375, 9780750333399
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