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Taiwan Mathematics School: Imaging Principles in Medical AI
 
14:20-17:20, weekdays, September 7 - 11, 2020
R201, Astronomy-Mathematics Building, NTU

Speaker:
Cheng Ying Chou (National Taiwan University)
Weichung Wang (National Taiwan University)


Organizers:
Weichung Wang (National Taiwan University)


一、課程背景與目的:

This course helps students to learn the basic and latest concepts, algorithms, theories, and implementations in medical imaging. The course also introduces some applications in AI-based medical image analysis.

 

二、課程之大綱與講者:

•   X-ray imaging systems

•   Computed tomography (CT): reconstruction mathematics, multidetector CT and its applications

•   Magnetic Resonance Imaging (MRI): theoretical basis, imaging techniques and system layout

•   Nuclear Medicine: radioisotope imaging, Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET)

•   Ultrasound Imaging Systems

•   Medical image data format (Digital Imaging and Communications in Medicine, DICOM)

•   Image classification for chest X-ray via deep learning

•   Image segmentation on 3D CT images via deep learning

•   Image registration on 3D CT and MR images via geometry and optimization

 

三、課程詳細時間地點以及方式:

上課時間:2020/9/7-11 第七八九節

課堂參與,小考或作業:30%,個人或小組計畫:70%



Contact: murphyyu@ncts.ntu.edu.tw



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