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Signal and image analysis for biomed...
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Sun, Changming.
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Signal and image analysis for biomedical and life sciences
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Signal and image analysis for biomedical and life sciences/ edited by Changming Sun ... [et al.].
其他作者:
Sun, Changming.
出版者:
Cham :Springer International Publishing : : 2015.,
面頁冊數:
xvi, 276 p. :ill. (some col.), digital ;24 cm.
內容註:
Visual Analytics of Signalling Pathways Using Time Profiles -- Modeling of Testosterone Regulation by Pulse-modulated Feedback -- Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence -- Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease -- Identification of the Reichardt Elementary Motion Detector Model.-- Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics -- Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed -- Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means -- Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring -- Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery -- Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks -- Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey -- Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment -- A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis.
Contained By:
Springer eBooks
標題:
Image analysis. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-10984-8
ISBN:
9783319109848 (electronic bk.)
Signal and image analysis for biomedical and life sciences
Signal and image analysis for biomedical and life sciences
[electronic resource] /edited by Changming Sun ... [et al.]. - Cham :Springer International Publishing :2015. - xvi, 276 p. :ill. (some col.), digital ;24 cm. - Advances in experimental medicine and biology,v.8230065-2598 ;. - Advances in experimental medicine and biology ;946..
Visual Analytics of Signalling Pathways Using Time Profiles -- Modeling of Testosterone Regulation by Pulse-modulated Feedback -- Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence -- Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease -- Identification of the Reichardt Elementary Motion Detector Model.-- Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics -- Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed -- Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means -- Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring -- Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery -- Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks -- Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey -- Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment -- A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis.
Signal and image analysis techniques are becoming more widely used in biomedical and life science applications. With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to some of the applications. It can be used by those both at graduate and specialist levels.
ISBN: 9783319109848 (electronic bk.)
Standard No.: 10.1007/978-3-319-10984-8doiSubjects--Topical Terms:
561018
Image analysis.
LC Class. No.: TA1637
Dewey Class. No.: 621.367
Signal and image analysis for biomedical and life sciences
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Visual Analytics of Signalling Pathways Using Time Profiles -- Modeling of Testosterone Regulation by Pulse-modulated Feedback -- Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence -- Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease -- Identification of the Reichardt Elementary Motion Detector Model.-- Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics -- Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed -- Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means -- Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring -- Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery -- Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks -- Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey -- Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment -- A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis.
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Signal and image analysis techniques are becoming more widely used in biomedical and life science applications. With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to some of the applications. It can be used by those both at graduate and specialist levels.
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