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008			191016s2020 si a o |||| 0|eng d
020			_a9789811505164
024	7		_a10.1007/978-981-15-0516-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC78.7 .U4 _b2020 EB
100	1		_aZhang, Ju _9672764
245	1	0	_aDespeckling Methods for Medical Ultrasound Images _cby Ju Zhang, Yun Cheng
250			_aPrimera edición 2020
264		1	_aSingapore _bSpringer _c2020
300			_a1 recurso en línea (XV, 142 páginas) _b 80 ilustraciones, 38 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroductions -- Despeckle Filters for Medical Ultrasound Images -- Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images -- Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter -- Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter -- Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images. .
520	3		_aBased upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _aDiagnóstico por imagen _9139972
650		7	_2embne _aEcografía _9142012
700	1		_aCheng, Yun _eautor
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789811505157
776	0	8	_iPrinted edition: _z9789811505171
776	0	8	_iPrinted edition: _z9789811505188
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-0516-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _eu _zSI