Computational Anatomy Based on Whole Body Imaging is popular PDF and ePub book, written by Hidefumi Kobatake in 2017-06-14, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Computational Anatomy Based on Whole Body Imaging can be Read Online from any device for your convenience.

Computational Anatomy Based on Whole Body Imaging Book PDF Summary

This book deals with computational anatomy, an emerging discipline recognized in medical science as a derivative of conventional anatomy. It is also a completely new research area on the boundaries of several sciences and technologies, such as medical imaging, computer vision, and applied mathematics. Computational Anatomy Based on Whole Body Imaging highlights the underlying principles, basic theories, and fundamental techniques in computational anatomy, which are derived from conventional anatomy, medical imaging, computer vision, and applied mathematics, in addition to various examples of applications in clinical data. The book will cover topics on the basics and applications of the new discipline. Drawing from areas in multidisciplinary fields, it provides comprehensive, integrated coverage of innovative approaches to computational anatomy. As well, Computational Anatomy Based on Whole Body Imaging serves as a valuable resource for researchers including graduate students in the field and a connection with the innovative approaches that are discussed. Each chapter has been supplemented with concrete examples of images and illustrations to facilitate understanding even for readers unfamiliar with computational anatomy.

Detail Book of Computational Anatomy Based on Whole Body Imaging PDF

Computational Anatomy Based on Whole Body Imaging
  • Author : Hidefumi Kobatake
  • Release : 14 June 2017
  • Publisher : Springer
  • ISBN : 9784431559764
  • Genre : Technology & Engineering
  • Total Page : 354 pages
  • Language : English
  • PDF File Size : 11,5 Mb

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