High-Performance Neural Network HarDNet and Its Application to Medical Image Analysis
1. HarDNet-MSEG is designated for polyp segmentation. It achieved the state-of-the-art in March 2021. It remains the fastest neural network among those can achieve an accuracy level of 90％.
2. HarDNet-BTS is designated for brain tumor segmentation. It is one of the top eight in MICCAI Brain Tumor Segmentation Challenge (BraTS’21). The team has also been invited to give an oral presentation in the conference and was the only Taiwan-based team getting invited.
Bionic Organ of Precision Hearing: Deep Learning-Based Neural Network AIoT Approach for Noise Reduction in Next Generation Cochlear Implant
Intelligent Quick Structural Safety Screening System based on Neural Network Entropy and Convolution Neural Network
Integrated Multiple Machine Learning and Deep Learning Algorithms to Construct Prediction Model of Incident Cardiac Dysrhythmia and Coronary Heart Disease
Control system for drinking water filtration and remineralization applications to generate targeted output rates in corresspondence with sensor feedback and software
Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
Trading preferences：Technical license/cooperation、Negotiate by self
Coming soon!