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Article
A geometry-aware multi-coordinate transformation fusion network for optic disc and cup segmentation
The determination of potential glaucoma cases often relies on the vertical cup-to-disc ratio, which is directly derived from segmentation results. This study introduces an approach that leverages the geometric...
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Article
Open AccessThe performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial
Artificial intelligence (AI)-based diagnostic systems have been reported to improve fundus disease screening in previous studies. This multicenter prospective self-controlled clinical trial aims to evaluate th...
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Chapter and Conference Paper
Fine-Grained Multi-modal Fundus Image Generation Based on Diffusion Models for Glaucoma Classification
With the emergence of Foundation Model, the generation quality and generalisation ability of image generation method have been further improved. However, medical image generation is still a challenging and pro...
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Chapter and Conference Paper
Removing Stray-Light for Wild-Field Fundus Image Fusion Based on Large Generative Models
In low-cost wide-field fundus cameras, the built-in lighting sources are prone to generate stray-light nearby, leading to low-quality image regions. To visualize retinal structures clearer, when fusing two ima...
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Article
Quercetin Mediated TET1 Expression Through MicroRNA-17 Induced Cell Apoptosis in Melanoma Cells
A previous report suggested that the expression of ten-eleven translocation (TET) proteins is abnormal in certain cancers. Quercetin has been demonstrated as anti-cancer role in cancer development. In order to...
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Article
Lignin-based epoxy composite vitrimers with light-controlled remoldability
Vitrimers open new possibilities in the reprocess of epoxy and other thermosets. However, direct heating is not practical on many occasions, and the waste vitrimers would cause great harm to the environment. I...
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Chapter and Conference Paper
Representation, Alignment, Fusion: A Generic Transformer-Based Framework for Multi-modal Glaucoma Recognition
Early glaucoma can be diagnosed with various modalities based on morphological features. However, most existing automated solutions rely on single-modality, such as Color Fundus Photography (CFP) which lacks 3...
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Article
Automated detection of severe diabetic retinopathy using deep learning method
The purpose of this study is to develop and validate the intelligent diagnosis of severe DR with lesion recognition based on color fundus photography.
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Chapter and Conference Paper
Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot
Fundus photograph is an important basis for ophthalmologists to diagnose retinal diseases. Due to the limitations of the optical system design for portable fundus cameras, there still exist typical image defec...
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Chapter and Conference Paper
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras
When a typical wide field fundus camera takes two fundus images as a pair, two patterns of illumination beams (the top and bottom, left and right) are turned on respectively. Due to the influence of the illumi...
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Chapter and Conference Paper
Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography
Corneal nerve fiber medical indicators are promising metrics for diagnosis of diabetic peripheral neuropathy. However, automatic nerve segmentation still faces the issues of insufficient data and expensive ann...
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Chapter and Conference Paper
Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching
For retinal image matching (RIM), we propose SuperRetina, the first end-to-end method with jointly trainable keypoint detector and descriptor. SuperRetina is trained in a novel semi-supervised manner. A small set...
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Article
Synergistic Effect of Moderate Steam Explosion Pretreatment and Bovine Serum Albumin Addition for Enhancing Enzymatic Hydrolysis of Poplar
Steam explosion (SE) pretreatment is a widely adopted method for enhancing enzymatic hydrolysis of lignocellulosic biomass in biorefinery. In this work, moderate SE pretreatment was employed to overcome the re...
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Chapter and Conference Paper
Depth Map** Hybrid Deep Learning Method for Optic Disc and Cup Segmentation on Stereoscopic Ocular Fundus
Optic disc and cup segmentation on ocular fundus images is an important prerequisite for diagnosing glaucoma. For the segmentation of optic disc (OD) and optic cup (OC), many previously proposed deep learning ...
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Chapter and Conference Paper
Automatic Diagnosis of Glaucoma on Color Fundus Images Using Adaptive Mask Deep Network
Glaucoma, a disease characterized by the progressive and irreversible defect of the visual field, requires a lifelong course of treatment once it is confirmed, which highlights the importance of glaucoma early...
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Chapter and Conference Paper
High-Order Attention Networks for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. Current state-of-the-art Convolutional Neural Networks on medical image segmentation capture local context information using fixed-shape receptive ...
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Chapter and Conference Paper
Retinal Nerve Fiber Layer Defect Detection with Position Guidance
The retinal nerve fiber layer defect (RNFLD) provides early diagnostic evidence for many irreversible disabling or blinding diseases. This paper aims for automated RNFLD detection based on fundus images. Diffe...
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Chapter and Conference Paper
AttenNet: Deep Attention Based Retinal Disease Classification in OCT Images
An optical coherence tomography (OCT) image is becoming the standard imaging modality in diagnosing retinal diseases and the assessment of their progression. However, the manual evaluation of the volumetric sc...
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Chapter and Conference Paper
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
This paper studies automated categorization of age-related macular degeneration (AMD) given a multi-modal input, which consists of a color fundus image and an optical coherence tomography (OCT) image from a sp...
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Chapter and Conference Paper
Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior
A macular fovea is a physiological structure of the human retina, which is an essential optical center. The distance between the lesion area and the foveal center determines the severity degree of visual impac...
