36 citations · 57 across the 5 of their papers we have counts for
5 papers
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
Jiong Zhang, Qihang Xie, Lei Mou +6
Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu +9
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation ass…
Dense Dilated Network with Probability Regularized Walk for Vessel Detection
Lei Mou, Li Chen, Jun Cheng +3
The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel detection. However, most o…
Knowledge infused cascade convolutional neural network for segmenting retinal vessels in volumetric optical coherence tomography
Liyang Fang, Jianlong Yang, Lei Mou +4
We present a cascade deep neural network to segment retinal vessels in volumetric optical coherence tomography (OCT). Two types of knowledge are infused into the network for confin…
The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection
Hao Qiu, Zaiwang Gu, Lei Mou +5
The optic disc segmentation is an important step for retinal image-based disease diagnosis such as glaucoma. The inner limiting membrane (ILM) is the first boundary in the OCT, whi…