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|a Processing of hyperspectral medical images :
|b applications in dermatology using MATLAB® /
|c Robert Koprowski.
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|a Cham, Switzerland :
|b Springer,
|c 2017.
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|a 1 online resource (xiii, 127 pages) :
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|a Studies in computational intelligence,
|x 1860-949X ;
|v volume 682.
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|a Includes bibliographical references.
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|a Online resource; title from PDF title page (SpringerLink, viewed January 5, 2017).
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|a 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.
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|a 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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|a MATLAB.
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|a MATLAB.
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|a Diagnostic imaging
|x Digital techniques.
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|a Imagerie pour le diagnostic
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|a Artificial intelligence.
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|a Dermatology.
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|a Koprowski, Robert.
|t Processing of hyperspectral medical images.
|d Cham, Switzerland : Springer, 2017
|z 3319504894
|z 9783319504896
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