Computational Anatomy Based on Whole Body Imaging

Kobatake, Hidefumi and Masutani, Yoshitaka, eds. (2017) Computational Anatomy Based on Whole Body Imaging. Springer Nature, Japan. ISBN 978-4-431-55976-4

Full text not available from this repository.

Abstract

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.

Item Type: Book
Subjects: R Medicine > R Medicine (General) > R856-857 Biomedical engineering. Electronics. Instrumentation > R857.M3.B56854 Biomedical materials. Stem cells--Therapeutic use. Regenerative medicine--Materials. TECHNOLOGY & ENGINEERING / Material Science. MEDICAL / Biotechnology
Divisions: 03-Faculty of Engineering > 21001-Engineering Science (S3)
Depositing User: Users 1741 not found.
Date Deposited: 21 Oct 2019 04:54
Last Modified: 21 Oct 2019 04:54
URI: http://repository.unsri.ac.id/id/eprint/12210

Actions (login required)

View Item View Item