000			04197cam a22005537i 4500
999			_c2681 _d2681
001			17988278
003			OSt
005			20190925093543.0
008			140106s2014 gw a b 001 0 eng c
010			_a 2014930169
016	7		_a101628182 _2DNLM
016	7		_a1042340447 _2GyFmDB
016	7		_a1042340447 _2DE-101
020			_a9783642415388
020			_a
020			_z
035			_a(OCoLC)ocn879377359
040			_aNLM _beng _cNLM _erda _dIXA _dOHX _dBTCTA _dYDXCP _dSTF _dOCLCF _dCDX _dDLC
042			_apcc
050	0	0	_aR856 _b.A52 2014
060	0	0	_a2014 C-669
060	1	0	_aQT 36
072		7	_aR _2lcco
072		7	_aQA _2lcco
082			_a610.28 SAH
245	0	0	_aAdvanced computational approaches to biomedical engineering / _cPunam K. Saha, Ujjwal Maulik, Subhadip Basu, editors.
264		1	_aHeidelberg : _bSpringer, _c[2014]
300			_axii, 217 pages : _billustrations (some color) ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505			_aPart I - Advanced Computational Methods.- Chap. 1 - Graph Algorithmic Techniques for Biomedical Image Segmentation.- Chap. 2 - Information Theoretic Clustering for Medical Image Segmentation.- Chap. 3 - Multiobjective Differential Evolution Based Fuzzy Clustering for MR Brain Image Segmentation.- Chap. 4 - Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics.- Chap. 5 - A Meta-learning Approach for Protein Function Prediction.- Part II - Biomedical Applications.- Chap. 6 - Segmentation of the Carotid Arteries from 3D Ultrasound Images.- Chap. 7 - Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity.- Chap. 8 - Advanced MRI of Cartilage and Subchondral Bone in Osteoarthritis.- Chap. 9 - Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images.
520	8		_aThere has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology-- _cSource other than the Library of Congress.
650		0	_aBiomedical engineering.
650	1	2	_aBiomedical Engineering _xmethods.
650	2	2	_aBiomedical Technology _xmethods.
650	2	2	_aComputational Biology _xmethods.
650	2	2	_aModels, Theoretical.
650		7	_aBiomedical engineering. _2fast _0(OCoLC)fst00832568
700	1		_aSaha, Punam K., _eeditor.
700	1		_aMaulik, Ujjwal, _eeditor.
700	1		_aBasu, Subhadip, _eeditor.
776	0		_z9783642415395 (online)
776	0		_w(GyWOH)har140060877
906			_a7 _bcbc _cpccadap _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cSTS