2. Week3
Machine Learning
(18. 04. 12. 13:00-17:00)
Week4
Deep Learning
(18. 05. 03. 13:00-17:00)
Week5
AI in Medicine
(18. 05. 10. 13:00-17:00)
โข Introduction to AI
โข Machine Learning
Overview
โข Image Classification
Pipeline
โข Loss functions and
Optimization
โข Neural Network and
Backpropagation
โข Training Neural
Networks
โข Convolutional Neural
Networks (CNNs)
โข CNNs Models
โข Applications of CNNs
โข Recurrent Neural
Networks (RNNs)
โข Deep Learning in
Practice
โข Applications in Medicine
3. ๏ง Introduction to AI
๏ง Machine Learning Overview
๏ง Image Classification Pipeline
๏ง Loss functions and Optimization
33. Reason 1. Humans will always maintain ultimate responsibility.
Reason 2. Radiologists donโt just look at images.
Reason 3. Productivity gains will drive demand.
Why AI will not replace radiologists?
Doctors?
Doctors
53. 53
2. ํน์ง ์ ํ ๋ฐ ์ถ์ถ
โข ํน์ง(Feature) ์ข ๋ฅ?
โข ํน์ง(Feature) ๊ฐฏ์?
Length
Lightness
Width
Number and shape of fins
Position of the mouth
โฆ
์์ ์ ํน์ง =
60. 60
2. ํน์ง ์ ํ ๋ฐ ์ถ์ถ
โข More features often makes better performance.
โข Too many features often causes poor generalization capability.
โ โCurse of Dimensionalityโ