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.
Similar Posts
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. 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…
Dr. Meng-Hsiun Tsai is Visiting UCSD as a Visiting Scholar
Dr. Meng-Hsiun Tsai is visiting UC San Diego’s Cancer Center and School of Medicine as a visiting scholar. During this period, the professor will be engaged in research on the development of cancer cell vaccines and bioinformatics.
Dr. Meng-Hsiun Tsai Has Been Invited as a Session Host at the 2023 SOD
Dr. Meng-Hsiun Tsai has been invited to serve as a session host in the 2023 International Conference and Annual of the Operations Research Society of Taiwan & The 21st Conference on Sustainable Operation and Development.
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…
