106 citations · 378 across the 18 of their papers we have counts for
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eess.IV2019
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Peng Liu, Bin Kong, Zhongyu Li +2
Recently, deep neural networks have demonstrated comparable and even better performance with board-certified ophthalmologists in well-annotated datasets. However, the diversity of…
eess.IV2019★ 2 cited
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation
Chaowei Tan, Zhennan Yan, Shaoting Zhang +2
The 3D morphology and quantitative assessment of knee articular cartilages (i.e., femoral, tibial, and patellar cartilage) in magnetic resonance (MR) imaging is of great importance…