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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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…
Lab Conducts a Collaborative Research Project with TVGH to Predict the Cancer Stage with Breast Cancer Ultrasound Images
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…
Dr. Meng-Hsiun Tsai Has Been Selected as a Technical Committee Member for ICBBB 2021
Congratulations to the professor on being selected as a Technical Committee member for the 2021 11th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2021)!
Celebration Lunch for Lab Members
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.
Lab Conducts a Collaborative Research Project with TVGH to Predict Progression-free Survival in Brain Tumor
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict progression-free survival in brain tumor patients. The laboratory plans to collaborate with physicians to construct a brain tumor image segmentation model to assist in the early detection and diagnosis of tumors.
