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008			170105s2017 sz a ob 000 0 eng d
020			_a3319504908 _q(electronic bk.)
020			_a9783319504902 _q(electronic bk.)
020			_z3319504894
020			_z9783319504896 _q(print)
035			_a(OCoLC)967703108 _z(OCoLC)967714793 _z(OCoLC)974649733 _z(OCoLC)1005758729 _z(OCoLC)1012074004
040			_aGW5XE _cGW5XE _dYDX _dAZU _dUAB _dOCLCF _dCOO _dUPM _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dVT2 _dOCLCO _dU3W _dES-MaUEC _bspa
050		4	_aRC78.7.D53 _bK677 2017 EB
100	1		_aKoprowski, Robert, _eautor _998676
245	1	0	_aProcessing of hyperspectral medical images : _bapplications in dermatology using MATLAB® _cRobert Koprowski.
264		1	_aCham, Switzerland _bSpringer _c2017
300			_a1 recurso en línea (xiii, 127 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 682
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aProcessing 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.
520	3		_aThis 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.
630	0	0	_aMATLAB.
630	0	7	_aMATLAB. _2fast _0(OCoLC)fst01365096
650		7	_aDiagnóstico por imagen _xDigital techniques. _2embne _0(OCoLC)fst00892359 _0 _9139972
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-50490-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
998			_b02/2018 _dz _e- _zSI
999			_c95146 _d95146 _x1