| Course title | |||||
| 機械設計Ⅰ [Fundamental and Practice of Machine Design] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | ～ | Semester | YearLong | |
| Course type | YearLong | Course code | 108a0601 | ||
| Instructor(s) | |||||
| 安藤 恵介, 水上 浩 [ANDO Keisuke, MINAKAMI Kou] | |||||
| Facility affiliation | Graduate School of Bio-Applications and Systems Engineering | Office | Email address | ||
| Course description |
|
This course treats foundations followed by applications with state of the art technologies about medical image processing and pattern recognition. Register to google classroom(class code : TBA) in advance. |
| Expected Learning |
| You will be able to understand algorithms of medical image analysis and pattern recognition. |
| Course schedule |
|
1 .Orientation, Display of medical volumes. 2. Gray scale image processing (1) : Smoothing and differential filters 3. Gray scale image processing (2) : Local structure enhancement filters 4. Gray scale image processing (3) : Fast computation of spatial filters 5. Segmentation (1) : Binarization 6. Segmentation (2) : Maximum likelihood 7. Segmentation (3) : Maximum a posteriori 8. Segmentation (4) : Active shape model, Level set based segmentation 9. Segmentation (5) : Sparse modeling based segmentation 10. Segmentation (6) : Graph cuts, Random walk 11. Connected component analysis : Labeling, Thinning etc. 12. Pattern recognition (1) : Bayes decision 13. Pattern recognition (2) : Ensemble learning 14. Pattern recognition (3) : Deep learning 15. Conclusion, Report |
| 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 |
| 4/15/2023 12:02:04 PM |