ArticleScientific reports2022
Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 40 citations in OpenAlex.
- External Validation and Comparison of Automated Retinal Image Quality Grading Methods in the Canadian Longitudinal Study on Aging.Ophthalmology science · 2026Article
- Photoacoustic microscopy reveals deep angiogenic responses in 3D bioprinted tumor-vessel models.Microsystems & nanoengineering · 2026Article
- Development and validation of a deep learning image quality feedback system for infant fundus photography.Scientific reports · 2025Article
- Evaluating the Impact of Retinal Vessel Segmentation Metrics on Retest Reliability in a Clinical Setting: A Comparative Analysis Using AutoMorph.Investigative ophthalmology & visual science · 2024Article
- Correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 diabetic nephropathy.Clinical kidney journal · 2024Article
- Artificial Intelligence-based quantitative evaluation of retinal vascular parameters in thyroid-associated ophthalmopathy.Endocrine · 2024Article
- Evaluating imaging repeatability of fully self-service fundus photography within a community-based eye disease screening setting.Biomedical engineering online · 2024Article
- Pachychoroid neovasculopathy versus macular neovascularization in age-related macular degeneration with and without shallow irregular pigment epithelial detachment.Scientific reports · 2023Article
- Fractal nature of human gastrointestinal system: Exploring a new era.World journal of gastroenterology · 2023Review
- Histologic Analysis of Idiopathic Pulmonary Fibrosis by Morphometric and Fractal Analysis.Biomedicines · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated fundus screening is becoming a significant programme of telemedicine in ophthalmology. Instant quality evaluation of uploaded retinal images could decrease unreliable diagnosis. In this work, we propose fractal dimension of retinal vasculature as an easy, effective and explainable indicator of retinal image quality. The pipeline of our approach is as follows: utilize image pre-processing technique to standardize input retinal images from possibly different sources to a uniform style; then, an improved deep learning empowered vessel segmentation model is employed to extract retinal vessels from the pre-processed images; finally, a box counting module is used to measure the fractal dimension of segmented vessel images. A small fractal threshold (could be a value between 1.45 and 1.50) indicates insufficient image quality. Our approach has been validated on 30,644 images from four public database.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.