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Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
Automatic colorectal polyp detection in colonoscopy video is a fundament...
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Deep Partial Multi-View Learning
Although multi-view learning has made signifificant progress over the pa...
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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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M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
To counter the outbreak of COVID-19, the accurate diagnosis of suspected...
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Adversarial Exposure Attack on Diabetic Retinopathy Imagery
Diabetic retinopathy (DR) is a leading cause of vision loss in the world...
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NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
Retinal images have been widely used by clinicians for early diagnosis o...
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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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Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis
Retinal fundus images are widely used for clinical screening and diagnos...
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AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causi...
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A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
Recently, deep neural networks (DNNs) have made great progress on automa...
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Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Magnetic resonance imaging (MRI) is a widely used neuroimaging technique...
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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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SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Generative Adversarial Networks (GANs) have the capability of synthesizi...
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Attention Guided Network for Retinal Image Segmentation
Learning structural information is critical for producing an ideal resul...
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ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. However, m...
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Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the...
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Salient Object Detection in the Deep Learning Era: An In-Depth Survey
As an important problem in computer vision, salient object detection (SO...
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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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Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
Irreversible visual impairment is often caused by primary angle-closure ...
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HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
Co-saliency detection aims to discover common and salient objects in an ...
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Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
A major cause of irreversible visual impairment is angle-closure glaucom...
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Person Re-Identification by Semantic Region Representation and Topology Constraint
Person re-identification is a popular research topic which aims at match...
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Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis
Retinal fundus photographs have been used in the diagnosis of many ocula...
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A Cascaded Convolutional Neural Network for Single Image Dehazing
Images captured under outdoor scenes usually suffer from low contrast an...
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Review of Visual Saliency Detection with Comprehensive Information
Visual saliency detection model simulates the human visual system to per...
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Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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An Iterative Co-Saliency Framework for RGBD Images
As a newly emerging and significant topic in computer vision community, ...
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Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation
Co-saliency detection aims at extracting the common salient regions from...
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A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges
Co-saliency detection is a newly emerging and rapidly growing research a...
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