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Computational methods in molecular i...
~
Gunjan, Vinit Kumar.
Computational methods in molecular imaging technologies
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational methods in molecular imaging technologiesby Vinit Kumar Gunjan ... [et al.].
other author:
Gunjan, Vinit Kumar.
Published:
Singapore :Springer Singapore :2017.
Description:
xv, 75 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Diagnostic imaging.
Online resource:
http://dx.doi.org/10.1007/978-981-10-4636-0
ISBN:
9789811046360$q(electronic bk.)
Computational methods in molecular imaging technologies
Computational methods in molecular imaging technologies
[electronic resource] /by Vinit Kumar Gunjan ... [et al.]. - Singapore :Springer Singapore :2017. - xv, 75 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics,2191-530X. - SpringerBriefs in applied sciences and technology.Forensic and medical bioinformatics..
1.Introduction -- 2.Artifacts Correction in MRI Images -- 3.Spiral Cone-beam CT Reconstruction -- 4.Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures -- 5.References.
This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
ISBN: 9789811046360$q(electronic bk.)
Standard No.: 10.1007/978-981-10-4636-0doiSubjects--Topical Terms:
214977
Diagnostic imaging.
LC Class. No.: RC78.7.D53
Dewey Class. No.: 616.0754
Computational methods in molecular imaging technologies
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This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
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EB RC78.7.D53 C738 2017
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http://dx.doi.org/10.1007/978-981-10-4636-0
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