CS5540: Computational Techniques for Analyzing Clinical Data
CS5540 meets WF 1:25-2:40 in 315 Upson Hall.This course will introduce students to the basics of data and signals arising in various medical contexts, and present some techniques for analysing them.
Outline of topics (very tentative):
- Introduction to medical data and signals
examples drawn from hospital records, EEG, CT, MRI
- Background technical material
Fourier transforms, wavelet transforms
Basic statistics and probability distributions
- Methods for processing of 1D medical signals
Arrythmia and heart murmur detection from EEG signals
Statistically optimal estimation and detection of 1D signals
- Methods for processing multi-dimensional medical signals
Statistically optimal estimation and detection
MRI image reconstruction
Image segmentation
- Medical applications of machine learning
Classification, clustering and segmentation of tumor/non-tumor voxels from contrast-enhanced MRI of liver and brain
Classification of patients' disease state from imaging and non-imaging data