Feature-based methods for 3D medical image analysis

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Medical imaging modalities such as MRI, ultrasound and CT allow us to visualize the 3D human body in-vivo, to make quantitative statements regarding anatomy or to diagnose pathologies or disorders. Collections of medical image data are growing rapidly in size and offer unprecedented opportunities for large-scale analyses to quantify anatomical variability and understand disease processes, for example Alzheimer’s disease in brain MRI or chronic obstructive pulmonary disease (COPD) in lung CT images. Given pressures on health care