12 citations · 31 across the 28 of their papers we have counts for
5 papers · 1 filter
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation
Hao Dang, Yuekai Zhang, Xingqun Qi +2
In recent years, deep convolution neural networks (DCNNs) have achieved great prospects in coronary artery vessel segmentation. However, it is difficult to deploy complicated model…
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
Wenxuan Zou, Muyi Sun
In recent years, deep convolutional neural networks have made significant advances in pathology image segmentation. However, pathology image segmentation encounters with a dilemma…
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
Zhuojie Wu, Zijian Wang, Wenxuan Zou +4
3D to 2D retinal vessel segmentation is a challenging problem in Optical Coherence Tomography Angiography (OCTA) images. Accurate retinal vessel segmentation is important for the d…
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images
Muyi Sun, Guanhong Zhang
Accurate retinal vessel segmentation is a challenging problem in color fundus image analysis. An automatic retinal vessel segmentation system can effectively facilitate clinical di…
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks
Muyi Sun, Zeyi Yao, Guanhong Zhang
Automatic cell segmentation is an essential step in the pipeline of computer-aided diagnosis (CAD), such as the detection and grading of breast cancer. Accurate segmentation of cel…