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.
This invention provides an improved vector quantization encoding for image quality restoration and a fast codebook training method. The invention divides image blocks into multiple data groups, and trains Cg encoding words for each group based on the standard deviation and data quantity of each group. The invention effectively enhances compressed image quality and significantly…
Dr. Meng-Hsiun Tsai Presents the works (directed by Ying-Chen Lin, Chung-Ting Lin, Fu-Sheng Hsueh, and Keng-Yuan Nien) at MOE Teaching Practice Research Program Workshop! The professor demonstrated how to enable learners to interact with big data in a virtual 3D environment.
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.
Congratulations to Professor Meng-Hsun Tsai on receiving the Distinguished Teaching Award II from National Chung Hsing University. He stood out from many outstanding teachers in the university.
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict the cancer stage with breast cancer ultrasound images. This research aims to construct a deep learning model for breast tumor detection, assisting physicians in reducing the time required for interpreting ultrasound images and achieving more accurate diagnoses. The goal is to assist…
Congratulations to Dr. Meng-Hsiun Tsai for being honored as an outstanding and senior teacher at National Chung Hsing University for 20 years!