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Titlebook: Optimization in Medicine; Carlos J. S. Alves,Panos M. Pardalos,Luis Nunes Vi Book 2008 Springer-Verlag New York 2008 SOIA.algorithms.class

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發(fā)表于 2025-3-21 17:44:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Optimization in Medicine
編輯Carlos J. S. Alves,Panos M. Pardalos,Luis Nunes Vi
視頻videohttp://file.papertrans.cn/704/703257/703257.mp4
概述Presents state-of-the-art research in optimization in medicine.Discusses a variety of medical topics and mathematical techniques.Numerous applications include radiotherapy treatment design, ultrasound
叢書(shū)名稱Springer Optimization and Its Applications
圖書(shū)封面Titlebook: Optimization in Medicine;  Carlos J. S. Alves,Panos M. Pardalos,Luis Nunes Vi Book 2008 Springer-Verlag New York 2008 SOIA.algorithms.class
描述.Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine...This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety
出版日期Book 2008
關(guān)鍵詞SOIA; algorithms; classification; global optimization; optimization; therapy; ultrasound
版次1
doihttps://doi.org/10.1007/978-0-387-73299-2
isbn_softcover978-1-4419-2517-6
isbn_ebook978-0-387-73299-2Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer-Verlag New York 2008
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:33:34 | 只看該作者
Book 2008ntinuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine...This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering
板凳
發(fā)表于 2025-3-22 01:55:11 | 只看該作者
Randomized algorithms for mixed matching and covering in hypergraphs in 3D seed reconstruction in bWe analyse the worst-case performance of the algorithm by discrete probabilistic methods and present results for data of patients with prostate cancer from the university clinic of Schleswig-Holstein, Campus Kiel. These examples show an almost optimal performance of the algorithm which presently cannot be matched by the theoretical analysis.
地板
發(fā)表于 2025-3-22 05:36:10 | 只看該作者
Decomposition of matrices and static multileaf collimators: a survey,f coefficients in the linear combination), the set-up time (corresponding to the number of matrices used in the linear combination), and other objectives which contribute to an improved radiation therapy.
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Optimization in Medicine978-0-387-73299-2Series ISSN 1931-6828 Series E-ISSN 1931-6836
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https://doi.org/10.1007/978-0-387-73299-2SOIA; algorithms; classification; global optimization; optimization; therapy; ultrasound
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發(fā)表于 2025-3-23 09:12:31 | 只看該作者
Optimal reconstruction kernels in medical imaging,mathematical models. They essentially consist of integral operators. The reconstruction is then recognized as the solution of an inverse problem. General strategies, the socalled approximate inverse, for deriving a solution are adapted. Results from real data are presented.
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