57 citations · 120 across the 12 of their papers we have counts for
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cs.CV2023★ 1 cited
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
Xiang Feng, Chengkai Wang, Chengyu Wu +4
Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled Segmentati…
cs.CV2023
Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation
Tengjin Weng, Yang Shen, Kai Jin +5
Automatic segmentation of fluid in Optical Coherence Tomography (OCT) images is beneficial for ophthalmologists to make an accurate diagnosis. Although semi-supervised OCT fluid se…