COMPUTATIONAL METHODS FOR MEDICAL IMAGE ANALYSIS

BMI/COMPSCI 767

Course Description

Study of computational techniques that facilitate automated analysis, manipulation, denoising, and improvement of large-scale and high resolution medical images. Design and implementation of methods from computer Vision and Machine Learning to efficiently process such image data to answer biologically and clinically meaningful scientific questions. Students are strongly encouraged to have programming skills and basic proficiency in calculus and linear algebra, such asMATH 340.

Prerequisties

Graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average

3.77

18.95% from Historical

Completion Rate

100%

4.35% from Historical

A Rate

66.67%

14.29% from Historical

Class Size

87.5% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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