04197cam a22005537i 4500 2681 2681 17988278 OSt 20190925093543.0 140106s2014 gw a b 001 0 eng c 2014930169 101628182 DNLM 1042340447 GyFmDB 1042340447 DE-101 9783642415388 (OCoLC)ocn879377359 NLM eng NLM rda IXA OHX BTCTA YDXCP STF OCLCF CDX DLC pcc R856 .A52 2014 2014 C-669 QT 36 R lcco QA lcco 610.28 SAH Advanced computational approaches to biomedical engineering / Punam K. Saha, Ujjwal Maulik, Subhadip Basu, editors. Heidelberg : Springer, [2014] xii, 217 pages : illustrations (some color) ; 24 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. Part 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. There 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-- Source other than the Library of Congress. Biomedical engineering. Biomedical Engineering methods. Biomedical Technology methods. Computational Biology methods. Models, Theoretical. Biomedical engineering. fast (OCoLC)fst00832568 Saha, Punam K., editor. Maulik, Ujjwal, editor. Basu, Subhadip, editor. 9783642415395 (online) (GyWOH)har140060877 7 cbc pccadap 2 ncip 20 y-gencatlg ddc STS 0 0 ddc 0 0 45/2 AIISH AIISH 2019-09-25 0 610.28 SAH 20107 2019-09-25 00:00:00 2019-09-25 STS