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160819s2016 enk ob 001 0 eng d |
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|a HEA
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|2 bisacsh
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|a MED
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|2 bisacsh
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|2 23
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1 |
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|a Wu, Guorong
|c (Researcher in medical imaging)
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1 |
0 |
|a Machine learning and medical imaging /
|c Guorong Wu, Dinggang Shen, Mert R. Sabuncu.
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| 260 |
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|a London, United Kingdom :
|b Academic Press is an imprint of Elsevier,
|c 2016.
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| 300 |
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|a 1 online resource (514 pages).
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| 336 |
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|a text
|b txt
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|a computer
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|2 rdamedia
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|a online resource
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|a The Elsevier and MICCAI society book series
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|a Print version record.
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|a Front Cover; Machine Learning and Medical Imaging; Copyright; Contents; Contributors; Editor Biographies; Preface; Acknowledgments; Part 1: Cutting-edge machine learning techniques in medical imaging; Chapter 1: Functional connectivity parcellation of the human brain; 1.1 Introduction; 1.2 Approaches to Connectivity-Based Brain Parcellation; 1.3 Mixture Model; 1.3.1 Model; 1.3.2 Inference; 1.4 Markov Random Field Model; 1.4.1 Model; 1.4.2 Inference; 1.5 Summary; References; Chapter 2: Kernel machine regression in neuroimaging genetics; 2.1 Introduction; 2.2 Mathematical Foundations.
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| 505 |
8 |
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|a 2.2.1 From Regression Analysis to Kernel Methods2.2.2 Kernel Machine Regression; 2.2.3 Linear Mixed Effects Models; 2.2.4 Statistical Inference; 2.2.5 Constructing and Selecting Kernels; 2.2.6 Theoretical Extensions; 2.2.6.1 Generalized kernel machine regression; 2.2.6.2 Multiple kernel functions; 2.2.6.3 Correlated phenotypes; 2.2.6.4 Multidimensional traits; 2.3 Applications; 2.3.1 Genetic Association Studies; 2.3.2 Imaging Genetics; 2.4 Conclusion and Future Directions; Acknowledgments; Appendix A: Reproducing Kernel Hilbert Spaces; Appendix A.1: Inner Product and Hilbert Space.
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|a Appendix A.2: Kernel Function and Kernel MatrixAppendix A.3: Reproducing Kernel Hilbert Space; Appendix A.4: Mercer's Theorem; Appendix A.5: Representer Theorem; Appendix B: Restricted Maximum Likelihood Estimation; References; Chapter 3: Deep learning of brain images and its application to multiple sclerosis; 3.1 Introduction; 3.1.1 Learning From Unlabeled Input Images; 3.1.1.1 From restricted Boltzmann machines to deep belief networks; Inference; Training; Deep belief networks; 3.1.1.2 Variants of restricted Boltzmann machines and deep belief networks; Convolutional DBNs.
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|a Alternative unit types3.1.1.3 Stacked denoising autoencoders; 3.1.2 Learning From Labeled Input Images; 3.1.2.1 Dense neural networks; 3.1.2.2 Convolutional neural networks; 3.2 Overview of Deep Learning in Neuroimaging; 3.2.1 Deformable Image Registration Using Deep-Learned Features; 3.2.2 Segmentation of Neuroimaging Data Using Deep Learning; 3.2.2.1 Hippocampus segmentation; 3.2.2.2 Infant brain image segmentation; 3.2.2.3 Brain tumor segmentation; 3.2.3 Classification of Neuroimaging Data Using Deep Learning; 3.2.3.1 Schizophrenia diagnosis; 3.2.3.2 Huntington disease diagnosis.
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| 505 |
8 |
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|a 3.2.3.3 Task identification using functional MRI dataset3.2.3.4 Early diagnosis of Alzheimer's disease; 3.2.3.5 High-level 3D PET image feature learning; 3.3 Focus on Deep Learning in Multiple Sclerosis; 3.3.1 Multiple Sclerosis and the Role of Imaging; 3.3.2 White Matter Lesion Segmentation; 3.3.2.1 Patch-based segmentation methods; 3.3.2.2 Convolutional encoder network segmentation; 3.3.3 Modeling Disease Variability; 3.4 Future Research Needs; Acknowledgments; References; Chapter 4: Machine learning and its application in microscopic image analysis; 4.1 Introduction; 4.2 Detection.
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| 504 |
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|a Includes bibliographical references and index.
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| 650 |
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0 |
|a Diagnostic imaging
|x Digital techniques.
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| 650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
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| 650 |
1 |
2 |
|a Image Processing, Computer-Assisted
|0 (DNLM)D007091
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| 650 |
2 |
2 |
|a Machine Learning
|0 (DNLM)D000069550
|
| 650 |
|
6 |
|a Imagerie pour le diagnostic
|x Techniques num�eriques.
|0 (CaQQLa)201-0395388
|
| 650 |
|
6 |
|a Intelligence artificielle en m�edecine.
|0 (CaQQLa)201-0180593
|
| 650 |
|
7 |
|a HEALTH & FITNESS
|x Diseases
|x General.
|2 bisacsh
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| 650 |
|
7 |
|a MEDICAL
|x Clinical Medicine.
|2 bisacsh
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| 650 |
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7 |
|a MEDICAL
|x Diseases.
|2 bisacsh
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| 650 |
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7 |
|a MEDICAL
|x Evidence-Based Medicine.
|2 bisacsh
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| 650 |
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7 |
|a MEDICAL
|x Internal Medicine.
|2 bisacsh
|
| 650 |
|
7 |
|a Artificial intelligence
|x Medical applications
|2 fast
|0 (OCoLC)fst00817267
|
| 650 |
|
7 |
|a Diagnostic imaging
|x Digital techniques
|2 fast
|0 (OCoLC)fst00892359
|
| 700 |
1 |
|
|a Shen, Dinggang.
|
| 700 |
1 |
|
|a Sabuncu, Mert Rory,
|d 1979-
|
| 776 |
0 |
8 |
|i Print version :
|z 9780128040768
|
| 830 |
|
0 |
|a Elsevier and MICCAI Society book series.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128040768
|z Texto completo
|
