000			02882nam a22004335i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c118564 _d118564
001			118564
003			ES-MaUEC
005			20230102113900.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			191120s2020 gw a o |||| 0|eng d
020			_a9783030360832
024	7		_a10.1007/978-3-030-36083-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC78.7.N83 _b2020 EB
100	1		_aShehab, Mohammad _eautor _9672561
245	1	0	_aArtificial Intelligence in Diffusion MRI : _bEnhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function _cby Mohammad Shehab.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XVII, 157 páginas) _b 61 ilustraciones, 54 ilustraciones a color.
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v877
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction Of Diffusion MRI and Cuckoo Search Algorithm -- Background Of Diffusion MRI -- Cuckoo Search Algorithm -- Methodology Of Extracting The Odf Maxima Using Csa.
520	3		_aThis book focuses on the use of artificial intelligence to address a specific problem in the brain - the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science. .
988			_aPrimersemestre_2020_Robotics
650		7	_2embne _aResonancia magnética nuclear (Medicina) _9141826
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030360825
776	0	8	_iPrinted edition: _z9783030360849
776	0	8	_iPrinted edition: _z9783030360856
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36083-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ek _zSI