Dr. Meng-Hsiun Tsai Receives an Outstanding and Senior Teacher at NCHU for 20 Years
Congratulations to Dr. Meng-Hsiun Tsai for being honored as an outstanding and senior teacher at National Chung Hsing University for 20 years!
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Lab Conducts a Collaborative Research Project with TVGH to Predict the Brain Tumor Growth
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…
Dr. Meng-Hsiun Tsai Receives a Lifetime Distinguished Professor at NCHU
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.
Dr. Meng-Hsiun Tsai Presents the Works at MOE Teaching Practice Research Program Workshop
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.
Dr. Tsai’s Patent Application Has Been Approved! An Improved Decompressed Image Methodology
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…
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
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.
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.
