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.
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 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.
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 Changhua Christian Hospital to predict the prognosis and healthcare consumption of hospitalized trauma patients. The project introduces deep learning for predicting in-hospital mortality and length of stay for patients. Therefore, it contributes to predicting the prognosis and healthcare consumption of hospitalized trauma patients, ultimately enhancing the quality of…
Congratulations on the remarkable achievement! Lab’s Smart System for Stress Detection in Table Tennis Athletes Win the Gold Medal Award at the 2023 World Invention Innovation Contest (WiC) in Seoul, Korea.
Congratulations! The laboratory’s industry cooperation project (Directed by Yen-Chih Feng, Chia-Hsien Li, Hao-Chang Kao, and Yun-Hsin Li) has been honored with the Excellence Award in the Poster Competition at Taichung Veterans General Hospital.
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…