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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
MATH 6346 Yan Cao | |||||
A- | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
MATH 6346 Yan Cao | |||||
A- | |||||
Grades: 609
Median GPA: B
Mean GPA: 2.652
2.3
Professor rating
4
Difficulty
23
Ratings given
64%
Would take again
Medical Image Analysis
MATH 6346
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: 124
Median GPA: A-
Mean GPA: 3.459
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Grades: 609
Median GPA: B
Mean GPA: 2.652
2.3
Professor rating
4
Difficulty
23
Ratings given
64%
Would take again
Medical Image Analysis
MATH 6346
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: 124
Median GPA: A-
Mean GPA: 3.459
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