Titlebook: Machine and Deep Learning in Oncology, Medical Physics and Radiology; Issam El Naqa,Martin J. Murphy Book 2022Latest edition Springer Natu

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Knowledge-Based Treatment Planning. Then we will present several KBP models, including a DVH prediction model, a whole breast radiation therapy (WBRT) fluence prediction model, and a beam angle bouquet model. These are a few samples from the vast amount of KBP literature published in the last years and represent some of the most rec

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Prediction of Oncology Treatment Outcomesment response. Therefore, recent approaches have utilized increasingly data-driven models incorporating advanced bioinformatics and machine learning tools in which treatment metrics are mixed with other patient- or disease-based prognostic factors in order to improve outcomes prediction. Accurate pr

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Machine and Deep Learning in Oncology, Medical Physics and Radiology

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Machine and Deep Learning in Oncology, Medical Physics and Radiology978-3-030-83047-2

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Book 2022Latest editionware code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members ofapplied machine learning communities.. .

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Issam El Naqa,Martin J. MurphyReference text for machine and deep learning in oncology, medical physics, and radiology.From theory to practice with examples.Provides a complete overview of the role of machine learning in radiation