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Multidisciplinary computational anatomytoward integration of artificial intelligence with MCA-based medicine /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multidisciplinary computational anatomyedited by Makoto Hashizume.
Reminder of title:	toward integration of artificial intelligence with MCA-based medicine /
other author:	Hashizume, Makoto.
Published:	Singapore :Springer Singapore :2022.
Description:	xv, 398 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Human anatomyData processing.
Online resource:	https://doi.org/10.1007/978-981-16-4325-5
ISBN:	9789811643255$q(electronic bk.)

Multidisciplinary computational anatomytoward integration of artificial intelligence with MCA-based medicine /
Multidisciplinary computational anatomytoward integration of artificial intelligence with MCA-based medicine /[electronic resource] :edited by Makoto Hashizume. - Singapore :Springer Singapore :2022. - xv, 398 p. :ill., digital ;24 cm.

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.

ISBN: 9789811643255$q(electronic bk.)

Standard No.: 10.1007/978-981-16-4325-5doiSubjects--Topical Terms:

787550
Human anatomy
--Data processing.

LC Class. No.: QM28 / .M85 2022

Dewey Class. No.: 611.00285

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520 $a 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.
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