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020 _a9783642415395
_9978-3-642-41539-5
024 7 _a10.1007/978-3-642-41539-5
_2doi
035 _ato000544841
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAdvanced Computational Approaches to Biomedical Engineering
_helectronic resource
_cedited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXII, 217 p. 100 illus., 76 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _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 _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.
650 0 _aComputer Science.
_9155490
650 0 _aArtificial intelligence.
_9274099
650 0 _aComputer vision.
_9274100
650 0 _aBioinformatics.
_9303853
650 0 _aengineering.
_9224332
650 1 4 _aComputer Science.
_9155490
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aComputational Intelligence.
_9307538
650 2 4 _aComputational Biology/Bioinformatics.
_9306755
650 2 4 _aImage Processing and Computer Vision.
_9303601
650 2 4 _aMathematical and Computational Biology.
_9411705
700 1 _aSaha, Punam K.
_eeditor.
_9452069
700 1 _aMaulik, Ujjwal.
_eeditor.
_9321660
700 1 _aBasu, Subhadip.
_eeditor.
_9452070
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-41539-5
912 _aZDB-2-SCS
999 _c402220