Artificial Intelligence in Radiation Therapy (eBook, ePUB)

Redaktion: Sumida, Iori

• Format: ePub

Produktbeschreibung

Artificial intelligence (AI) seems to be bridging the gap between the acquisition of data and its meaningful interpretation. These approaches have shown outstanding capabilities, outperforming most classification and regression methods to date, and including the ability to automatically learn the most suitable data representation for the task at hand and present it for better correlation. Treatment planning is an essential step of the radiotherapy workflow. Treatment planning has become more labor intensive, requiring hours or even days of effort to optimize an individual patient case. More recently, 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. These algorithms focus on automating the planning process and/or optimizing dosimetric trade-offs, and they have already made great impact on improving treatment planning efficiency and plan quality consistency.

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 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.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Seitenzahl: 150
• Erscheinungstermin: 9. Dezember 2022
• Englisch
• ISBN-13: 9780750333399
• Artikelnr.: 66984741