Domain-invariant interpretable fundus image quality assessment
Sign Up to like & getrecommendations! Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101654
Abstract: Objective and quantitative assessment of fundus image quality is essential for the diagnosis of retinal diseases. The major factors in fundus image quality assessment are image artifact, clarity, and field definition. Unfortunately, most of existing… read more here.
Keywords: quality; image; image quality; quality assessment ... See more keywords
RFormer: Transformer-Based Generative Adversarial Network for Real Fundus Image Restoration on a New Clinical Benchmark
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3187103
Abstract: Ophthalmologists have used fundus images to screen and diagnose eye diseases. However, different equipments and ophthalmologists pose large variations to the quality of fundus images. Low-quality (LQ) degraded fundus images easily lead to uncertainty in… read more here.
Keywords: clinical benchmark; fundus image; image restoration; real fundus ... See more keywords
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3015224
Abstract: Deep convolutional neural networks have significantly boosted the performance of fundus image segmentation when test datasets have the same distribution as the training datasets. However, in clinical practice, medical images often exhibit variations in appearance… read more here.
Keywords: image segmentation; image; domain; domain oriented ... See more keywords
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3225422
Abstract: Anomaly detection in fundus images remains challenging due to the fact that fundus images often contain diverse types of lesions with various properties in locations, sizes, shapes, and colors. Current methods achieve anomaly detection mainly… read more here.
Keywords: fundus images; fundus image; diverse lesions; anomaly detection ... See more keywords
The assessment of fundus image quality labeling reliability among graders with different backgrounds
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0271156
Abstract: Purpose For the training of machine learning (ML) algorithms, correctly labeled ground truth data are inevitable. In this pilot study, we assessed the performance of graders with different backgrounds in the labeling of retinal fundus… read more here.
Keywords: image quality; quality; fundus image; graders different ... See more keywords
A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Korean Medical Science"
DOI: 10.3346/jkms.2018.33.e239
Abstract: Background We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system. Methods A… read more here.
Keywords: agreement; image; machine learning; image reading ... See more keywords
Reliable and stable fundus image registration based on brain-inspired spatially-varying adaptive pyramid context aggregation network
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.1117134
Abstract: The task of fundus image registration aims to find matching keypoints between an image pair. Traditional methods detect the keypoint by hand-designed features, which fail to cope with complex application scenarios. Due to the strong… read more here.
Keywords: network; fundus image; registration; image registration ... See more keywords
A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12010014
Abstract: Diabetic retinopathy (DR) is a complication of diabetes and is known as visual impairment, and is diagnosed in various ethnicities of the working-age population worldwide. Fundus angiography is a widely applicable modality used by ophthalmologists… read more here.
Keywords: image; diabetic retinopathy; fundus image; image enhancement ... See more keywords
Multi-Path Recurrent U-Net Segmentation of Retinal Fundus Image
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10113777
Abstract: Diabetes can induce diseases including diabetic retinopathy, cataracts, glaucoma, etc. The blindness caused by these diseases is irreversible. Early analysis of retinal fundus images, including optic disc and optic cup detection and retinal blood vessel… read more here.
Keywords: retinal fundus; segmentation; segmentation retinal; fundus image ... See more keywords
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12123084
Abstract: Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision impairment. It has four stages of progression, i.e., mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative Diabetic Retinopathy. The disease has no noticeable… read more here.
Keywords: fundus image; image dataset; deep learning; diabetic retinopathy ... See more keywords
Multi-Label Fundus Image Classification Using Attention Mechanisms and Feature Fusion
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13060947
Abstract: Fundus diseases can cause irreversible vision loss in both eyes if not diagnosed and treated immediately. Due to the complexity of fundus diseases, the probability of fundus images containing two or more diseases is extremely… read more here.
Keywords: fundus; classification; fundus image; fundus images ... See more keywords