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책 정보
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 그래픽
· ISBN : 9780128040768
· 쪽수 : 512쪽
· 출판일 : 2016-08-09
목차
Part 1: Cutting-Edge Machine Learning Techniques in Medical Imaging
Chapter 1: Functional connectivity parcellation of the human brain
Chapter 2: Kernel machine regression in neuroimaging genetics
Chapter 3: Deep learning of brain images and its application to multiple sclerosis
Chapter 4: Machine learning and its application in microscopic image analysis
Chapter 5: Sparse models for imaging genetics
Chapter 6: Dictionary learning for medical image denoising, reconstruction, and segmentation
Chapter 7: Advanced sparsity techniques in magnetic resonance imaging
Chapter 8: Hashing-based large-scale medical image retrieval for computer-aided diagnosis
Part 2: Successful Applications in Medical Imaging
Chapter 9: Multitemplate-based multiview learning for Alzheimer’s disease diagnosis
Chapter 10: Machine learning as a means toward precision diagnostics and prognostics
Chapter 11: Learning and predicting respiratory motion from 4D CT lung images
Chapter 12: Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?
Chapter 13: From point to surface: Hierarchical parsing of human anatomy in medical images using machine learning technologies
Chapter 14: Machine learning in brain imaging genomics
Chapter 15: Holistic atlases of functional networks and interactions (HAFNI)
Chapter 16: Neuronal network architecture and temporal lobe epilepsy: A connectome-based and machine learning study
