000			02966nam a22003858i 4500
001			CR9781139022675
003			UkCbUP
005			20161016095542.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110217s2014||||enk o ||1 0|eng|d
020			_a9781139022675 (ebook)
020			_z9780521196796 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
049			_aAlfaisal Main Library
050	0	0	_aR856 _b.F37 2014
082	0	0	_a610.28 _223
100	1		_aFarag, Aly A., _eauthor.
245	1	0	_aBiomedical image analysis : _bstatistical and variational methods / _cAly A. Farag, University of Louisville.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (xxii, 464 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aOverview of biomedical image analysis -- Overview of two-dimensional signals and systems -- Biomedical imaging modalities -- Random variables -- Random processes -- Basics of random fields -- Probability density estimation by linear models -- Basics of topology and computational geometry -- Geometric features extraction -- Variational approaches and level sets -- Segmentation - statistical approach -- Segmentation - variational approach -- Basics of registration -- Variational methods for shape registrations -- Statistical models of shape and appearance.
520			_aIdeal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding, whilst computer simulations, online course slides and a solution manual provide a complete instructor package.
650		0	_aImaging systems in medicine.
650		0	_aImage analysis.
655		7	_aElectronic books. _2local
710	2		_aCambridge eBooks.
776	0	8	_iPrint version: _z9780521196796
856	4	0	_uhttp://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1017/CBO9781139022675
942			_2lcc _cEBOOKS
999			_c315314 _d315314