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Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
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CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Automated detection of curvilinear structures, e.g., blood vessels or ne...
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ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imagi...
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Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences
Anterior chamber angle (ACA) classification is a key step in the diagnos...
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Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
Precise characterization and analysis of iris shape from Anterior Segmen...
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Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
With the development of convolutional neural network, deep learning has ...
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Dense Dilated Network with Probability Regularized Walk for Vessel Detection
The detection of retinal vessel is of great importance in the diagnosis ...
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The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection
The optic disc segmentation is an important step for retinal image-based...
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SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Generative Adversarial Networks (GANs) have the capability of synthesizi...
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Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Deep neural networks (DNNs) have become popular for medical image analys...
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CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Medical image segmentation is an important step in medical image analysi...
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