Advanced AI for
Healthcare
BM103IU
Lụa Ngô, Ph.D
General Information
› Attendance, quiz, assignment: 30%
› Midterm exam: 30%
› Final project presentation: 40%
› TA: Võ Quang Trấn (voquangtran28101999@gmail.com)
›
Ngô Trọng Nhân (nhanngo.bme@gmail.com)
› Instructor: Ngô Thị Lụa, Ph.D (ntlua@hcmiu.edu.vn)
Final Project Presentation
› Individual project
› Topics: Choose from given topics or suggested topics
› Presentation: 10 mins presentation and 5 mins demo code
› Report: journal form
Contents
1
Support Vector Machine
2
Decision tree
3
Random forest
4
Boosting (Adaboost, XGBoost)
5
ANN
6
CNN
7
Segmentation CNN Architectures
8
Classification CNN Architectures
9
RNN
10
Object Detection
11
Visualizing and Understanding Features
What are the problems that you are solving?
Thank you