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 |