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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…
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…
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…
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Tianyang Zhang, Huazhu Fu, Yitian Zhao +7
Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks. However, most of existing…
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu +6
Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been us…