AIMC Topic: Tomography, Optical Coherence

Clear Filters Showing 411 to 420 of 808 articles

Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Feb 12, 2021
PURPOSE: We assessed the ability of deep learning (DL) models to distinguish between tear meniscus of lacrimal duct obstruction (LDO) patients and normal subjects using anterior segment optical coherence tomography (ASOCT) images.
Female Aged Adult Male Humans Lacrimal Duct Obstruction Deep Learning Tomography, Optical Coherence Tears Meniscus
View on PubMed DOI

Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.

American journal of ophthalmology Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
Tomography, Optical Coherence Eye Diseases Biometry Anterior Eye Segment Male Myopia Adolescent Child Astigmatism Lens Implantation, Intraocular Phakic Intraocular Lenses Humans Machine Learning Retrospective Studies Female Young Adult Adult Dilatation, Pathologic
View on PubMed DOI

Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence.

Communications biology Feb 5, 2021
Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image seg...
Tomography, Optical Coherence Retina Machine Learning Image Interpretation, Computer-Assisted Humans Observer Variation Algorithms Neural Networks, Computer Retinal Diseases Retrospective Studies Middle Aged Reproducibility of Results Artificial Intelligence Macaca fascicularis Female Deep Learning Adult Clinical Competence Animals Multimodal Imaging Male
View on PubMed DOI

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Recently, coronary heart disease has attracted more and more attention, where segmentation and analysis for vascular lumen contour are helpful for treatment. And intravascular optical coherence tomography (IVOCT) images are used to display lumen shap...
Blood Vessels Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Endovascular Procedures Humans Neural Networks, Computer Databases, Factual
View on PubMed DOI

Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.

IEEE transactions on medical imaging Feb 2, 2021
Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Deep learning networks have been widely applied in the field of OCTA reconstruction, benefiting from its powerful mapping capability among i...
Deep Learning Tomography, Optical Coherence Angiography Fluorescein Angiography Humans Animals
View on PubMed DOI

Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases.

American journal of ophthalmology Jan 30, 2021
PURPOSE: To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images...
Deep Learning Tomography, Optical Coherence ROC Curve Female Dry Eye Syndromes Area Under Curve Humans Male Corneal Diseases Keratoconus Neural Networks, Computer Middle Aged Fuchs' Endothelial Dystrophy Prospective Studies Diagnosis, Computer-Assisted
View on PubMed DOI

Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.

Ophthalmology. Retina Jan 28, 2021
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...
Ranibizumab Aged Wet Macular Degeneration Aged, 80 and over Cross-Sectional Studies Male Humans Prognosis Retrospective Studies Female Middle Aged Visual Acuity Deep Learning Tomography, Optical Coherence Angiogenesis Inhibitors Vascular Endothelial Growth Factor A Follow-Up Studies Intravitreal Injections
View on PubMed DOI

Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images.

Scientific reports Jan 26, 2021
We aimed to develop a model to predict visual field (VF) in the central 10 degrees in patients with glaucoma, by training a convolutional neural network (CNN) with optical coherence tomography (OCT) images and adjusting the values with Humphrey Field...
Adult Middle Aged Deep Learning Tomography, Optical Coherence Visual Fields Glaucoma Algorithms Aged Young Adult Humans Neural Networks, Computer
View on PubMed DOI

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification.

Medical & biological engineering & computing Jan 25, 2021
Deep learning (DL) has been successfully applied to the diagnosis of ophthalmic diseases. However, rare diseases are commonly neglected due to insufficient data. Here, we demonstrate that few-shot learning (FSL) using a generative adversarial network...
Humans Neural Networks, Computer Deep Learning Tomography, Optical Coherence Feasibility Studies Retinal Diseases Rare Diseases
View on PubMed DOI

An objective structural and functional reference standard in glaucoma.

Scientific reports Jan 18, 2021
The current lack of consensus for diagnosing glaucoma makes it difficult to develop diagnostic tests derived from deep learning (DL) algorithms. In the present study, we propose an objective definition of glaucomatous optic neuropathy (GON) using cle...
Photography Male Middle Aged Deep Learning ROC Curve Humans Glaucoma Tomography, Optical Coherence Algorithms Fundus Oculi Female Optic Nerve Diseases Reference Standards
View on PubMed DOI
Popular Topics
Recent Journals