Description
This course gives an overview of biological and biomedical imaging modalities, such as fluorescent microscopy, electron microscopy, magnetic resonance imaging, ultrasound and others. The focus is on automating and solving the fundamental tasks required for the interpretation of these images, including deconvolution, registration, segmentation, padern recognition, and modeling, as well as tools needed to solve those tasks (such as Fourier and wavelet methods). The discussion of these topics will draw on many fields including statistics, signal processing, and machine learning.
