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Processing of Hyperspectral Medical Images [electronic resource] : Applications in Dermatology Using Matlab® / by Robert Koprowski.

By: Koprowski, Robert [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 682Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIII, 127 p. 56 illus., 54 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319504902.Subject(s): Computational intelligence | Artificial intelligence | Dermatology | Computational Intelligence | Artificial Intelligence | DermatologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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