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Medical Image Analysis
School of Natural Sciences and Mathematics
Introduction to mathematical and computational methods in extracting clinically useful information from medical images. Topics include image enhancement, feature extraction and shape analysis, image segmentation algorithms used to localize and identify target structures in medical images, image registration algorithms used to determine the correspondence of multiple images of the same anatomical structure, and image classification. 3 credit hours.
Prerequisites: Linear algebra and calculus through multivariable calculus, or consent of the instructor.
Offering Frequency: Each year
Grades: 111
Median GPA: A-
Mean GPA: 3.465
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Medical Image Analysis
School of Natural Sciences and Mathematics
Introduction to mathematical and computational methods in extracting clinically useful information from medical images. Topics include image enhancement, feature extraction and shape analysis, image segmentation algorithms used to localize and identify target structures in medical images, image registration algorithms used to determine the correspondence of multiple images of the same anatomical structure, and image classification. 3 credit hours.
Prerequisites: Linear algebra and calculus through multivariable calculus, or consent of the instructor.
Offering Frequency: Each year
Grades: 111
Median GPA: A-
Mean GPA: 3.465
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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MATH 6346 (Overall) | |||||
A- | |||||
MATH 6346 Yan Cao | |||||
A- | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MATH 6346 (Overall) | |||||
A- | |||||
MATH 6346 Yan Cao | |||||
A- | |||||