Processing of hyperspectral medical images : applications in dermatology using MATLAB®

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 severa...

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Bibliographic Details
Main Author: Koprowski, Robert, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Studies in computational intelligence ; v. 682.
Subjects:
MATLAB.
Diagnostic imaging > Digital techniques.
elektronické knihy
electronic books
ISBN: 9783319504902
9783319504896
Physical Description: 1 online resource (xiii, 127 pages) : illustrations (some color)

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100 1 |a Koprowski, Robert,  |e author. 
245 1 0 |a Processing of hyperspectral medical images :  |b applications in dermatology using MATLAB® /  |c Robert Koprowski. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (xiii, 127 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 682 
504 |a Includes bibliographical references. 
505 0 |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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |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. 
590 |a SpringerLink  |b Springer Complete eBooks 
630 0 0 |a MATLAB. 
630 0 7 |a MATLAB.  |2 fast  |0 (OCoLC)fst01365096 
650 0 |a Diagnostic imaging  |x Digital techniques. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Koprowski, Robert.  |t Processing of hyperspectral medical images.  |d Cham, Switzerland : Springer, 2017  |z 3319504894  |z 9783319504896  |w (OCoLC)962125623 
830 0 |a Studies in computational intelligence ;  |v v. 682.  |x 1860-949X 
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