Deep learning for medical applications
Deep learning has already been successfully applied in the field of medical informatics, such as healthcare analysis, medical image analysis, surgical risk prediction, and so forth. The analysis results obtained through artificial intelligence technology can effectively improve healthcare quality, reduce waste of medical resources, and enhance the doctor-patient relationship. This presentation includes the research results from our research team in the past few years, focusing on medical image recognition for lung cancer, skin cancer, heart disease, and eye diseases.
Date and Time
Location
Hosts
Registration
- Date: 29 Jan 2025
- Time: 01:30 PM to 02:30 PM
- All times are (UTC+00:00) Edinburgh
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- Ulster University Belfast Campus
- Belfast, Northern Ireland
- United Kingdom
- Building: BC-03-213
- Contact Event Host
-
m.garcia-constantino@ulster.ac.uk
- Co-sponsored by Ulster University
Speakers
Che-Lun of National Yang Ming Chiao Tung University
Deep learning for medical applications
Deep learning has already been successfully applied in the field of medical informatics, such as healthcare analysis, medical image analysis, surgical risk prediction, and so forth. The analysis results obtained through artificial intelligence technology can effectively improve healthcare quality, reduce waste of medical resources, and enhance the doctor-patient relationship. This presentation includes the research results from our research team in the past few years, focusing on medical image recognition for lung cancer, skin cancer, heart disease, and eye diseases.
Biography:
Che-Lun Hung is a Professor in Institute of Biomedical Informatics at National Yang Ming Chiao Tung University, Taiwan. He received his PhD in Computer Science from National Tsing Hua University in 2010. In 2010, he joined the Department of Computer Science and Communication Engineering in Providence University as an Assistant Professor. He became Associate Professor and Full Professor in Providence University in 2013 and 2016, respectively. Then, he joined the Department of Computer Science and Information Engineering in Chang Gung University as a Full Professor in 2018. After that, he joined the Institute of Biomedical Informatics in National Yang Ming Chiao Tung University as a Full Professor in 2020. He is a senior member of IEEE. He is the author of more than 50 articles and served as guest editor for more than 10 journals. His research interests are in the areas of high performance computing, deep learning, smart medicine, proteomics, genomics, systems biology, next-generation sequencing, and computational chemistry.