Machine Learning and Medical Imaging

✍ Scribed by Guorong Wu, Dinggang Shen, Mert Sabuncu

• Publisher: Academic Press
• Year: 2016
• Tongue: English
• Leaves: 488
• Series: Elsevier and Micca Society
• Edition: 1
• Category: Library

✦ Synopsis

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs.

The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

• Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems
• Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics
• Features self-contained chapters with a thorough literature review
• Assesses the development of future machine learning techniques and the further application of existing techniques

✦ Table of Contents

Content:
Front Matter,Copyright,Contributors,Editor Biographies,Preface,AcknowledgmentsEntitled to full textPart 1: Cutting-Edge Machine Learning Techniques in Medical ImagingChapter 1 - Functional connectivity parcellation of the human brain, Pages 3-29, A. Schaefer, R. Kong, B.T.Thomas Yeo
Chapter 2 - Kernel machine regression in neuroimaging genetics, Pages 31-68, T. Ge, J.W. Smoller, M.R. Sabuncu
Chapter 3 - Deep learning of brain images and its application to multiple sclerosis, Pages 69-96, T. Brosch, Y. Yoo, L.Y.W. Tang, R. Tam
Chapter 4 - Machine learning and its application in microscopic image analysis, Pages 97-127, F. Xing, L. Yang
Chapter 5 - Sparse models for imaging genetics, Pages 129-151, J. Wang, T. Yang, P. Thompson, J. Ye
Chapter 6 - Dictionary learning for medical image denoising, reconstruction, and segmentation, Pages 153-181, T. Tong, J. Caballero, K. Bhatia, D. Rueckert
Chapter 7 - Advanced sparsity techniques in magnetic resonance imaging, Pages 183-236, J. Huang, Y. Li
Chapter 8 - Hashing-based large-scale medical image retrieval for computer-aided diagnosis, Pages 237-255, X. Zhang, S. Zhang
Chapter 9 - Multitemplate-based multiview learning for Alzheimer’s disease diagnosis, Pages 259-297, M. Liu, R. Min, Y. Gao, D. Zhang, D. Shen
Chapter 10 - Machine learning as a means toward precision diagnostics and prognostics, Pages 299-334, A. Sotiras, B. Gaonkar, H. Eavani, N. Honnorat, E. Varol, A. Dong, C. Davatzikos
Chapter 11 - Learning and predicting respiratory motion from 4D CT lung images, Pages 335-363, T. He, Z. Xue
Chapter 12 - Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?, Pages 365-382, N. Duchateau, G. Piella, A. Frangi, M. De Craene
Chapter 13 - From point to surface: Hierarchical parsing of human anatomy in medical images using machine learning technologies, Pages 383-410, Y. Zhan, M. Dewan, S. Zhang, Z. Peng, B. Jian, X.S. Zhou
Chapter 14 - Machine learning in brain imaging genomics, Pages 411-434, J. Yan, L. Du, X. Yao, L. Shen
Chapter 15 - Holistic atlases of functional networks and interactions (HAFNI), Pages 435-454, X. Jiang, D. Zhu, T. Liu
Chapter 16 - Neuronal network architecture and temporal lobe epilepsy: A connectome-based and machine learning study, Pages 455-476, B.C. Munsell, G. Wu, S. Keller, J. Fridriksson, B. Weber, M. Stoner, D. Shen, L. Bonilha
Index, Pages 477-487

✦ Subjects

Diagnostic imaging;Digital techniques;Artificial intelligence;Medical applications;HEALTH & FITNESS;Diseases;General;MEDICAL;Clinical Medicine;MEDICAL;Diseases;MEDICAL;Evidence-Based Medicine;MEDICAL;Internal Medicine