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Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Cataract is one of the leading causes of reversible visual impairment an...
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Attention-based Saliency Hashing for Ophthalmic Image Retrieval
Deep hashing methods have been proved to be effective for the large-scal...
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Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
Latent Factor Model (LFM) is one of the most successful methods for Coll...
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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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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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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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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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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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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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Twin Auxiliary Classifiers GAN
Conditional generative models enjoy remarkable progress over the past fe...
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Generative-Discriminative Complementary Learning
Majority of state-of-the-art deep learning methods for vision applicatio...
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You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding
Visual Grounding (VG) aims to locate the most relevant region in an imag...
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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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Robust Angular Local Descriptor Learning
In recent years, the learned local descriptors have outperformed handcra...
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss
Deep neural networks have exhibited promising performance in image super...
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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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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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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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