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Titlebook: Prediction and Classification of Respiratory Motion; Suk Jin Lee,Yuichi Motai Book 2014 Springer-Verlag Berlin Heidelberg 2014 Classificat

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書目名稱Prediction and Classification of Respiratory Motion
編輯Suk Jin Lee,Yuichi Motai
視頻videohttp://file.papertrans.cn/755/754554/754554.mp4
概述Recent research in Prediction and Classification of Respiratory Motion.Introduction to recent algorithms describing respiratory motion.Written by experts in the field.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Prediction and Classification of Respiratory Motion;  Suk Jin Lee,Yuichi Motai Book 2014 Springer-Verlag Berlin Heidelberg 2014 Classificat
描述.This book describes recent radiotherapy technologies including tools for measuring target position during radiotherapy and tracking-based delivery systems.?.This book presents a customized prediction of respiratory motion with clustering from multiple patient interactions. The proposed method contributes to the improvement of patient treatments by considering breathing pattern for the accurate dose calculation in radiotherapy systems. Real-time tumor-tracking, where the prediction of irregularities becomes relevant, has yet to be clinically established. The statistical quantitative modeling for irregular breathing classification, in which commercial respiration traces are retrospectively categorized into several classes based on breathing pattern are discussed as well. The proposed statistical classification may provide clinical advantages to adjust the dose rate before and during the external beam radiotherapy for minimizing the safety margin..In the first chapter following the Introduction? to this book, we review three prediction approaches of respiratory motion: model-based methods, model-free heuristic learning algorithms, and hybrid methods. In the following chapter, we pres
出版日期Book 2014
關(guān)鍵詞Classification of Respiratory Motion; Computational Intelligence; Prediction of Respiratory Motion; Res
版次1
doihttps://doi.org/10.1007/978-3-642-41509-8
isbn_softcover978-3-662-51064-3
isbn_ebook978-3-642-41509-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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