ArticleProceedings of SPIE--the International Society for Optical Engineering2020
Self-fusion for OCT noise reduction.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. 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.
- Review of diffusion models and its applications in biomedical informatics.BMC medical informatics and decision making · 2025Review
- Image harmonization and de-harmonization based on singular value decomposition (SVD) in medical domain.Quantitative imaging in medicine and surgery · 2025Article
- A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis.Frontiers in medicine · 2025Review
- Probabilistic volumetric speckle suppression in OCT using deep learning.Biomedical optics express · 2024Article
- Article
- Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation.Ophthalmic medical image analysis : 10th International Workshop, OMIA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. OMIA (Workshop) (10th : 2023 : Vancouver, B.C. ; Online) · 2023Article
- MURIN: Multimodal Retinal Imaging and Navigated-laser-delivery for dynamic and longitudinal tracking of photodamage in murine models.Frontiers in ophthalmology · 2023Article
- Real-time OCT image denoising using a self-fusion neural network.Biomedical optics express · 2022Article
- Retinal OCT Denoising with Pseudo-Multimodal Fusion Network.Ophthalmic medical image analysis : 7th International Workshop, OMIA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings · 2020Article
- LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionArticle
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.
Funding
Abstract
Reducing speckle noise is an important task for improving visual and automated assessment of retinal OCT images. Traditional image/signal processing methods only offer moderate speckle reduction; deep learning methods can be more effective but require substantial training data, which may not be readily available. We present a novel self-fusion method that offers effective speckle reduction comparable to deep learning methods, but without any external training data. We present qualitative and quantitative results in a variety of datasets from fovea and optic nerve head regions, with varying SNR values for input images.
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.