000			04267cam a2200553Ii 4500
001			9781315148595
003			FlBoTFG
005			20220531132629.0
006			m o d
007			cr cnu|||unuuu
008			190628t20192019flu ob 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781315148595 _q(electronic bk.)
020			_a1315148595 _q(electronic bk.)
020			_a9781351373036 _q(electronic bk.)
020			_a135137303X _q(electronic bk.)
020			_a9781351373029 _q(electronic bk. : EPUB)
020			_a1351373021 _q(electronic bk. : EPUB)
020			_a9781351373012 _q(electronic bk. : Mobipocket)
020			_a1351373013 _q(electronic bk. : Mobipocket)
020			_z9781138553453
020			_z113855345X
035			_a(OCoLC)1105988233 _z(OCoLC)1107342922 _z(OCoLC)1107565606
035			_a(OCoLC-P)1105988233
050		4	_aRC78.7.D53
072		7	_aMED _x000000 _2bisacsh
072		7	_aMED _x009000 _2bisacsh
072		7	_aMED _x080000 _2bisacsh
072		7	_aMQW _2bicssc
082	0	4	_a616.07/54 _223
245	0	0	_aLevel set method in medical imaging segmentation / _c[edited by] Ayman El-Baz and Jasjit S. Suri.
264		1	_aBoca Raton, FL : _bCRC Press, _c[2019]
264		4	_c©2019
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aTomography reconstructions with stochastic level-set methods / Bruno Sixou, Lin Wang, and Francoise Peyrin -- Application of 3D level set based optimization in microwave breast imaging for cancer detection / Hardik N. Patel and Deepak K. Ghodgaonkar -- A modified global and elastic ICP shape registration for medical imaging applications / Hossam Abd El Munim and Aly A. Farag -- Robust nuclei segmentation using statistical level set method with topology preserving constraint / Shaghayegh Taheri, Thomas Fevens, and Tien D. Bui -- Level set methods in segmentation of SDOCT retinal images / Padmasini N, Umamaheswari R, Mohamed Yacin Sikkandar and Manavi D Sindal -- Numerical techniques for level set models : an image segmentation perspective / Elisabetta Carlini, Maurizio Falcone, and Roberto Ferretti -- Level set methods for cardiac segmentation in MSCT images / Ruben Medina, Sebastian Bautista, Villie Morocho, and Alexandra La Cruz -- Deformable models and image segmentation / Ahmed ElTanboly, Ali Mahmoud, Ahmed Shalaby, Magdi El-Azab, Mohammed Ghazal, Robert Keynton, and Ayman El-Baz -- Cardiac image segmentation using generalized polynomial chaos expansion and level set function / Yuncheng Du, and Dongping Du -- Medical image segmentation approach that uses level sets with statistical shape priors / Ahmed Eltanboly, Mohammed Ghazal, Hassan Hajjdiab, Ali Mahmoud, Ahmed Shalaby, Jasjit Suri, Robert Keynton, and Ayman El-Baz -- Level set method in medical imaging segmentation / Jiangxiong Fang -- Image segmentation with B-spline level set / Shenhai Zheng, Bin Fang, and Laquan Li.
520			_aLevel set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aDiagnostic imaging.
650		7	_aMEDICAL / General _2bisacsh
650		7	_aMEDICAL / Biotechnology _2bisacsh
650		7	_aMEDICAL / Radiology & Nuclear Medicine _2bisacsh
700	1		_aEl-Baz, Ayman S., _eeditor.
700	1		_aSuri, Jasjit S., _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315148595
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c75007 _d75007