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Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Visualization in Medicine and Life Sciences (Mathematics and Visualization)
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Hamann, Bernd 編 作者
Springer
譯者
2007-11-12 出版日期
345 頁數
USD 109.00 價格
Hardcover
Mathematics and Visualization 叢書系列
9783540726296 圖書編碼

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發表於2024-09-18

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 著者簡介

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 著者簡介

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Visualization in Medicine and Life Sciences (Mathematics and Visualization) 在線電子書 圖書描述

Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. This technology complements traditional image processing methods as it allows scientists to visually interact with large, high- resolution three-dimensional image data, for example. Further, an ever increasing number of new data acquisition methods are being used in medicine and the life sciences, in particular in genomics and proteomics. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data. Experts from all over the world had been invited to participate in a workshop held in July 2006 on the island RA1/4gen in Germany. About 40 participants presented state-of-the-art research on the topic. Research and survey papers have been solicited and carefully refereed, resulting in this collection. The topics covered include Segmentation and Feature Detection, Surface Extraction, Volume Visualization, Graph and Network Visualization, Visual Data Exploration, Multivariate and Multidimensional Data Visualization, Large Data Visualization. The book will be of great interest to researchers, graduate students, and professionals dealing with visualization and its application in medicine and life sciences.

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