no code implementations • 3 Oct 2021 • Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Gediminas Kostkevicius, Domantas Ozerenskis
3D anatomical landmarks play an important role in health research.
no code implementations • 23 Apr 2021 • Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li
Extensive experiments show that our unsupervised learning method enables comparable detection performance to state-of-the-art supervised techniques, in both the intra- and inter-dataset settings.
1 code implementation • 15 Mar 2021 • Xuequan Lu, Yihao Wang, Sheldon Fung, Xue Qing
In this paper, we identify two main bottlenecks: (1) the lack of a publicly available imaging dataset for diverse species of nematodes (especially the species only found in natural environment) which requires considerable human resources in field work and experts in taxonomy, and (2) the lack of a standard benchmark of state-of-the-art deep learning techniques on this dataset which demands the discipline background in computer science.