03978cam a22005057i 450000100090000000300040000900500170001300800410003001000170007101600200008801600230010801600230013102000200015402000060017402000060018003500240018604000690021004200080027905000200028706000150030706000100032207200120033207200130034408200150035724501210037226400360049330000580052933600260058733700280061333800270064150400510066850508650071952015340158465000280311865000370314665000360318365000360321965000250325565000540328070000290333470000290336370000290339277600270342177600240344817988278OSt20190925093543.0140106s2014    gw a     b    001 0 eng c  a  20149301697 a1016281822DNLM7 a10423404472GyFmDB7 a10423404472DE-101  a9783642415388    a   z   a(OCoLC)ocn879377359  aNLMbengcNLMerdadIXAdOHXdBTCTAdYDXCPdSTFdOCLCFdCDXdDLC  apcc00aR856b.A52 201400a2014 C-66910aQT 36 7aR2lcco 7aQA2lcco  a610.28 SAH00aAdvanced computational approaches to biomedical engineering /cPunam K. Saha, Ujjwal Maulik, Subhadip Basu, editors. 1aHeidelberg :bSpringer,c[2014]  axii, 217 pages :billustrations (some color) ;c24 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  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.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. 0aBiomedical engineering.12aBiomedical Engineeringxmethods.22aBiomedical Technologyxmethods.22aComputational Biologyxmethods.22aModels, Theoretical. 7aBiomedical engineering.2fast0(OCoLC)fst008325681 aSaha, Punam K.,eeditor.1 aMaulik, Ujjwal,eeditor.1 aBasu, Subhadip,eeditor.0 z9783642415395 (online)0 w(GyWOH)har140060877