Processing of Hyperspectral Medical Images

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Details

This book presents new methods of analyzing and processing hyperspectral medical images, which can be used in diagnostics, for example for dermatological images. The algorithms proposed are fully automatic and the results obtained are fully reproducible. Their operation was tested on a set of several thousands of hyperspectral images and they were implemented in Matlab. The presented source code can be used without licensing restrictions. This is a valuable resource for computer scientists, bioengineers, doctoral students, and dermatologists interested in contemporary analysis methods.

Introduces methods of analysis and processing of hyperspectral medical images which have been tested in practice in the Matlab® environment Presents the applied source code and describes it in detail Can also be used to teach advanced engineering students in fields related to computer science

Inhalt

Processing of Hyperspectral Medical Images: Applications in Dermatology Using Matlab®.- Foreword.- Preface.- Acknowledgments.- List of selected symbols.- Chapter1: Introduction.- Chapter2: Image acquisition.- Chapter3: Image pre-processing.- Chapter4: Image processing.- Chapter5: Classification.- Chapter6: Sensitivity to parameter changes.- Chapter7: Conclusions.- Appendix.- References.- Summary.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319504896
    • Anzahl Seiten 127
    • Lesemotiv Verstehen
    • Genre Technology
    • Auflage 1st ed. 2017
    • Sprache Englisch
    • Herausgeber Springer-Verlag GmbH
    • Gewicht 333g
    • Untertitel Applications in Dermatology Using Matlab®
    • Größe H243mm x B167mm x T15mm
    • Jahr 2016
    • EAN 9783319504896
    • Format Fester Einband
    • ISBN 978-3-319-50489-6
    • Titel Processing of Hyperspectral Medical Images
    • Autor Robert Koprowski

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