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.
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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)!
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 Members’ Thesis Defense and Celebration
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Happy Teacher’s Day
Today, we honor the dedication, passion, and hard work of educators who inspire and guide us every day. Teachers play a vital role in shaping our minds and nurturing our potential. Let’s take a moment to express our gratitude to these incredible individuals. Happy Teacher’s Day, Dr. Meng-Hsiun! Thank you for making a difference in…
Dr. Tsai’s Patent Application Has Been Approved! Genetic Code Management System
A method for managing the genetic code of species, comprising the following steps: (1) reading the genetic code sequence of species; (2) selecting a control parameter based on the length information of the genetic code sequence; (3) converting the genetic code sequence into a binary sequence using a table lookup method; (4) rearranging the binary…
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…
