Participate in the 2024 GCBME & TSBE Annual Meeting at NCKU
Our lab participated in the 2024 GCBME and TSBE Annual Meeting held at National Cheng Kung University, exploring the application of deep learning techniques in the field of sports science.
Our lab participated in the 2024 GCBME and TSBE Annual Meeting held at National Cheng Kung University, exploring the application of deep learning techniques in the field of sports science.
Farewell Party for Fu-Sheng Hsueh, Yu-Sheng Cheng, Min-Yu Chen, Yen-Chih Feng, Wen-Chieh Li, Chia-Hsien Li, and Yen-Chun Lu! Wishing everyone to become extraordinary ordinary individuals on their future life journey.
Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.
Congratulations! The laboratory’s industry cooperation project (Directed by Yen-Chih Feng, Chia-Hsien Li, Hao-Chang Kao, and Yun-Hsin Li) has been honored with the Excellence Award in the Poster Competition at Taichung Veterans General Hospital.
Congratulations to Fu-Sheng Hsueh, Yu-Sheng Cheng, Min-Yu Chen, Yen-Chih Feng, Wen-Chieh Li, Chia-Hsien Li, and Yen-Chun Lu from the Precision Medicine & Clinical Translational Research Lab on the successful completion of their master’s thesis defense! This is a significant achievement, and their hard work and dedication are truly commendable. Wishing them continued success in their…
Lab conducts a collaborative research project with Taichung Veterans General Hospital to Predict the Brain Tumor Growth. This research utilizes deep learning and machine learning to construct pre-processing techniques for brain tumor MRI images, as well as models for detecting the areas of brain tumors and edema. This facilitates a comparison of the extent of…
Congratulations to the professor on being appointed as a Distinguished Professor with a lifetime appointment at National Chung Hsing University! This prestigious recognition is a testament to the professor’s outstanding contributions to academia, research, and the university community.