Springer Optimization and Its Applications

By: Panos M. Pardalos (Editor), H. Edwin Romeijn (Editor)

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Hardcover | 22 December 2008

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460 Pages

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24.13 x 15.88 x 1.91

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Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients.

Topics covered include: optimization in medical imaging, classification and data mining with medical applications, treatment of epilepsy and other brain disorders, treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, treatment selection for breast cancer based on new classification schemes, optimization for the genome project, optimal timing of organ transplants.

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You Can Find This Book In

Non-Fiction Science Biology, Life Sciences Botany & Plant Sciences Medicine Pre-Clinical Medicine & Basic Sciences Mathematics Applied Mathematics Optimisation Linear Programming Medicine in General Engineering & Technology

Technology in General Engineering in General Physics Applied Physics Biophysics

Preface	p. vii
List of Contributors	p. xi
Optimizing Organ Allocation and Acceptance	p. 1
Can we Do Better? Optimiztion Models for Breast Cancer Screening	p. 25
Optimizaton Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning	p. 53
Continuous Optimization of Beamlet Intensities for intensity Modulated Photon and Proton Radiotherapy	p. 83
Multicriteria Optimization in Intensity Modulated Radiotherapy Planning	p. 123
Algorithms for Sequencing Multileaf Collimators	p. 169
Image Registration and Segmentation Based on energy Minimization	p. 213
Optimization Techniques for Data Representations with Biomedical Applications	p. 253
Algorithms for Genomics Analysis	p. 291
Optimization and Data Mining in Epilepsy Research: A Review and Prospective	p. 325
Mathematical Programming Approaches for the Analysis of Microarray Data	p. 357
Classification and Disease Prediction via Mathematical programming	p. 381
Index	p. 431
Table of Contents provided by Ingram. All Rights Reserved.

Springer Optimization and Its Applications

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Hardcover

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