Graduate School of Science and Engineering

Back to List

HUI500X3(人間情報学 / Human informatics 500)
Image Analysis

Akinobu SHIMIZU

Class code etc
Faculty/Graduate school Graduate School of Science and Engineering
Attached documents
Year 2022
Class code YB022
Previous Class code
Previous Class title
Term 秋学期授業/Fall
Day/Period 火3/Tue.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience
Category 応用情報工学専攻

Show all

Hide All

Outline (in English)

[Course outline]This course introduces medical image analysis and pattern recognition to students taking this course. For example, spatial filtering, binarization, level set, graph cuts, and compressed sensing based segmentation algorithms. Deep learning based approaches are also explained.
[Learning Object]At the end of the course, students are expected to understand a variety of fundations and applications of medical image analysis.
[Learning activities outside of classroom] Students will be expected to have read the relevant papers. Your required study time is at least one hour for each class meeting.
[Grading Criteria /Policy] Your overall grade in the class will be decided based on the following Short examination: 30%、Reports : 60%、in class contribution: 10%

Default language used in class

日本語 / Japanese