Courses

MSIM 762: Applied Medical Image Analysis

Course explores hands-on exposure to state-of-the-art algorithms in medical image analysis, which builds on open-source software (Insight Segmentation and Registration Toolkit - ITK), as well as the principles of medical image acquisition in the modalities of clinical interest. Medical imaging modalities - X-rays, CT, and MRI/ITK image pipeline; image enhancement, feature detection; segmentation - basic techniques, feature-based classification and clustering, graph cuts, active contour and surface models; surface and volume meshing; registration - transformations, similarity criteria; shape and appearance models are all explored and discussed in this course.

Total Credit Hours: 3
Semester(s):
Spring 2019
Prerequisites:
Knowledge of C++ and object-oriented programming.
Instructor:
Audette, Michel A.
Instructor Email:
MAUDETTE@ODU.EDU

Weekly Live Sessions

Mon Tue Wed Thu Fri Sat
4:20 - 7:00 PM

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Questions? Contact the ODU CGEP Director:

Anothony W. Dean   •   Ph: 757-683-7121   •   adean@odu.edu