Course title
高次元画像解析特論   [Advanced High Dimensional Image Analysis]
Course category courses for doctoral programs  Requirement   Credit 2 
Department   Year   Semester Fall 
Course type Fall  Course code 1080421
Instructor(s)
清水 昭伸   [SHIMIZU Akinobu]
Facility affiliation Faculty of Engineering Office   Email address

Course description
This course treats foundations followed by applications with state of the art technologies.
Expected Learning
You will be able to understand algorithms of medical image analysis.
Course schedule
1st: Introduction, Display of medical volumes.
2nd to 4th : Gray image processing.
5th to 10th : Segmentation.
11th : Connected component analysis
12th to 14th: Pattern recognition
15th Summary
Prerequisites
Algebra, Mathematical analysis,Statistical mathematics of liberal arts course
Required Text(s) and Materials
References
Pattern Recognition and Machine Learning, Christopher Bishop
Assessment/Grading
The score is evaluated on the attendance rate and report.
Message from instructor(s)
I hope you understand the essential of medical image analysis.
Course keywords
Image processing, Pattern recognition
Office hours
12:00-13:00, Wednesday
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
3/27/2018 7:10:55 PM