Multidisciplinary Computational Anatomy -

Multidisciplinary Computational Anatomy (eBook)

Toward Integration of Artificial Intelligence with MCA-based Medicine

Makoto Hashizume (Herausgeber)

eBook Download: PDF
2021 | 1st ed. 2022
XV, 398 Seiten
Springer Singapore (Verlag)
978-981-16-4325-5 (ISBN)
Systemvoraussetzungen
85,59 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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 by respected 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.


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.



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 "e;living"e; 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.
Erscheint lt. Verlag 30.11.2021
Zusatzinfo XV, 398 p. 254 illus., 228 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Medizin / Pharmazie Allgemeines / Lexika
Medizin / Pharmazie Medizinische Fachgebiete Chirurgie
Medizinische Fachgebiete Radiologie / Bildgebende Verfahren Radiologie
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Studium 1. Studienabschnitt (Vorklinik) Anatomie / Neuroanatomie
Studium 1. Studienabschnitt (Vorklinik) Biochemie / Molekularbiologie
Technik Medizintechnik
Technik Umwelttechnik / Biotechnologie
Schlagworte Artificial Intelligence • computational anatomy • computer-aided surgery • MCA • Medical Image Processing • robotic surgery • Surgical navigation system
ISBN-10 981-16-4325-3 / 9811643253
ISBN-13 978-981-16-4325-5 / 9789811643255
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 38,8 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich

von Marija Pinto

eBook Download (2023)
Urban & Fischer Verlag - Lehrbücher
26,99