ArticleBiomedical optics express2020
Real-time retinal layer segmentation of OCT volumes with GPU accelerated inferencing using a compressed, low-latency neural network.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 55 citations in OpenAlex.
- Automated Feature Segmentation of Ultra-Widefield OCT Images.Ophthalmology science · 2026Article
- Deep reinforcement learning for automatic defocus correction using OCT image intensity.Biomedical optics express · 2025Article
- Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models.Translational vision science & technology · 2025Article
- High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks.Brain informatics · 2024Article
- Developing a 10-Layer Retinal Segmentation for MacTel Using Semi-Supervised Learning.Translational vision science & technology · 2024Article
- Real-time line-field optical coherence tomography for cellular resolution imaging of biological tissue.Biomedical optics express · 2024Article
- Panretinal Optical Coherence Tomography.IEEE transactions on medical imaging · 2023Article
- PseudoSegRT: efficient pseudo-labelling for intraoperative OCT segmentation.International journal of computer assisted radiology and surgery · 2023Article
- Annotation-efficient learning for OCT segmentation.Biomedical optics express · 2023Article
- Methods for real-time feature-guided image fusion of intrasurgical volumetric optical coherence tomography with digital microscopy.Biomedical optics express · 2023Article
- Real-time closed-loop tissue-specific laser osteotomy using deep-learning-assisted optical coherence tomography.Biomedical optics express · 2023Article
- Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.Ophthalmology · 2023Article
- Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications.Frontiers in ophthalmology · 2023Article
- Association of Optical Coherence Tomography-Measured Fibrovascular Ridge Thickness and Clinical Disease Stage in Retinopathy of Prematurity.JAMA ophthalmology · 2022Article
- A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation.Scientific reports · 2022Article
- Depth-resolved visualization and automated quantification of hyperreflective foci on OCT scans using optical attenuation coefficients.Biomedical optics express · 2022Article
- Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration.Biomedical optics express · 2022Article
- Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets.Journal of imaging · 2022Article
- Towards standardizing retinal optical coherence tomography angiography: a review.Light, science & applications · 2022Review
- Numerical calibration method for a multiple spectrometer-based OCT system.Biomedical optics express · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Segmentation of retinal layers in optical coherence tomography (OCT) is an essential step in OCT image analysis for screening, diagnosis, and assessment of retinal disease progression. Real-time segmentation together with high-speed OCT volume acquisition allows rendering of
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.