Multidisciplinary Computational Anatomy : Toward Integration of Artificial Intelligence with MCA-based Medicine

Makoto Hashizume

ISBN 10: 9811643245 / ISBN 13: 9789811643248

Published by Springer Nature Singapore, Springer Nature Singapore, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and 'living' approach in the clinical setting will promote better planning for - and more accurate, effective, and safe implementation of - medical management.Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written byrespected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.

Seller Inventory # 9789811643248

Bibliographic Details

• Title: Multidisciplinary Computational Anatomy : Toward Integration of Artificial Intelligence with MCA-based Medicine
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2021
• Language: English
• ISBN 10: 9811643245
• ISBN 13: 9789811643248
• Binding: Buch
• Condition: Neu
• Dimensions: 285W x 215H x 27D millimeters 285 millimeters width by 215 millimeters height by 27 millimeters depth
• Weight: 1384 grams

About this title

Synopsis

This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. 

Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written byrespected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.

About the Author

Dr. Makoto Hashizume, MD, PhD, FACS, is a general surgeon who graduated at Kyushu University School of Medicine in 1979 and finished residency at General Surgery II, Kyushu University Hospital. Dr. Hashizume obtained his PhD in 1984 from Graduate School of Medical Sciences, Kyushu University. He was promoted to professor and chairman, Department of Disaster and Emergency Medicine, Faculty of Medical Sciences, Kyushu University, in 1999. He was awarded the title of distinguished professor in 2014 and the title of professor emeritus in 2018. Dr. Hashizume is now an executive director of Kitakyushu Koga Hospital in Japan.