Medical Image and Signal Processing Laboratory

Laboratory Supervisor

Yen-Wei Lee

Laboratory Introduction

The Medical Image and Signal Processing Laboratory focuses primarily on the research and development of technologies related to "Medical Image Processing" and "Medical Signal Processing," and is dedicated to exploring and advancing related technologies. In the area of "Medical Imaging," the laboratory mainly investigates ultrasound images, mammography images, computed tomography images, magnetic resonance images, and related topics. In the area of "Medical Signals," the laboratory mainly investigates electrocardiograms, audio signals, biomedical signals, and related topics. Artificial intelligence technologies, including machine learning and deep learning, are primarily applied to address practical clinical issues involving medical images and medical signals. Undergraduate project students and graduate students who are interested are welcome to make an appointment with the professor for further discussion.

Research Topics

Artificial Intelligence
Deep Learning
Machine Learning
Breast Ultrasound
Computer-Aided Diagnosis (CAD) Systems
Medical Decision Support Systems
Tumor Segmentation and Diagnosis
Medical Image Analysis
Digital Image Processing
Pattern Recognition
Computer Vision

Click Num: