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.
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.
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…
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 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.
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 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…
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.