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 differences in these areas for physicians.
Project Overview Brain tumors, prevalent across all ages, arise from complex brain structures. Abnormal cell growth forms tumors, classified as benign or malignant. Early detection is crucial, as these slow-growing masses often lack symptoms. Due to their diverse locations and effects, treatment is challenging. This project aims to leverage deep learning and machine learning for…
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.
Farewell Party for Fu-Sheng Hsueh, Yu-Sheng Cheng, Min-Yu Chen, Yen-Chih Feng, Wen-Chieh Li, Chia-Hsien Li, and Yen-Chun Lu! Wishing everyone to become extraordinary ordinary individuals on their future life journey.
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.
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.
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)!