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.
National Tsing Hua University (NTHU), established in 1911 and located in Hsinchu, Taiwan, is one of the top research universities in the country. NTHU offers a wide range of programs in fields such as engineering, science, management, and humanities. The university is known for its strong emphasis on innovation, research excellence, and fostering global perspectives. With a commitment to academic rigor and interdisciplinary collaboration, NTHU plays a key role in advancing knowledge and technological development, contributing to both Taiwan’s growth and the global academic community.
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Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
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