most citedPGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

eess.IV2019★ 1 cited

PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

Jie Zhao, Lei Dai, Mo Zhang +5

Automated cervical nucleus segmentation based on deep learning can effectively improve the quantitative analysis of cervical cancer. However, accurate nuclei segmentation is still…

quant-ph2019

Experimental realization of state transfer by quantum walks with two coins

Yun Shang, Meng Li

Quantum state transfer between different sites is a significant problem for quantum networks and quantum computers. By selecting quantum walks with two coins as the basic model and…

eess.IV2019

Scalable Double Regularization for 3D Nano-CT Reconstruction

Wei Tang, Meng Li

Nano-CT (computerized tomography) has emerged as a non-destructive high-resolution cross-sectional imaging technique to effectively study the sub-m pore structure of shale, whic…