Artificial Intelligence in Radiation Therapy (ePub)

Name: Artificial Intelligence in Radiation Therapy
Brand: Institute of Physics Publishing
SKU: 146475188
Price: 172.70 EUR
Availability: OnlineOnly

(Sprache: Englisch)

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Artificial intelligence has been utilized to automate and improve various aspects of medical science. For radiotherapy treatment planning, many algorithms have been developed to better support planners. The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow. An introductory section explains the necessity of AI regarding accuracy and efficiency in clinical settings followed by a basic learning method and introduction of potential applications in radiotherapy. Some chapters also include typical source codes which the reader may use in their original neural network.

This book would be an excellent text for more experienced practitioners and researchers and members of medical physics communities, such as AAPM, ASTRO, and ESTRO. Students and graduate students who are focusing on medical physics would also benefit from this text.

Key Features:

Systematic chapters are designed over the radiotherapy workflow.

Describes in detail how AI contributes to a perspective in the future radiotherapy.

Typical source codes are included to implement a neural network.

The book supports the reader as a developer of AI.

Autoren-Porträt

Iori Sumida is an invited faculty member in Osaka University, and he is a director of Physics and Clinical Support in Accuray, Japan. He received a Ph.D. in radiation oncology from Osaka University, Japan. He has published extensively on radiation therapy issues using neural network and machine learning.

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Bibliographische Angaben

2022, 150 Seiten, Englisch
Herausgegeben: Iori Sumida
Verlag: Institute of Physics Publishing
ISBN-10: 0750333391
ISBN-13: 9780750333399
Erscheinungsdatum: 09.12.2022

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: ePub
Größe: 4.74 MB
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Englisch

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