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BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
Huihong Zhang, Jianlong Yang, Kang Zhou +4
Choroid is the vascular layer of the eye, which is directly related to the incidence and severity of many ocular diseases. Optical Coherence Tomography (OCT) is capable of imaging…
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
Kang Zhou, Shenghua Gao, Jun Cheng +6
With the development of convolutional neural network, deep learning has shown its success for retinal disease detection from optical coherence tomography (OCT) images. However, dee…
Universal digital filtering for denoising volumetric retinal OCT and OCT angiography in 3D shearlet domain
Jianlong Yang, Yan Hu, Liyang Fang +2
Retinal optical coherence tomography (OCT) and OCT angiography (OCTA) suffer from the degeneration of image quality due to speckle noise and bulk-motion noise, respectively. Becaus…
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…
Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning
Ting Zhou, Kang Zhou, Jianlong Yang +7
Optical coherence tomography angiography (OCTA) requires high transverse sampling density for visualizing retinal and choroidal capillaries. Low transverse sampling causes resoluti…
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…