AIMC Topic: Tomography, Optical Coherence

Clear Filters Showing 511 to 520 of 857 articles

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation.

Medical image analysis May 23, 2020
Estimating the forces acting between instruments and tissue is a challenging problem for robot-assisted minimally-invasive surgery. Recently, numerous vision-based methods have been proposed to replace electro-mechanical approaches. Moreover, optical...
Deep Learning Tomography, Optical Coherence Humans
View on PubMed DOI

Spatio-temporal deep learning methods for motion estimation using 4D OCT image data.

International journal of computer assisted radiology and surgery May 22, 2020
PURPOSE: Localizing structures and estimating the motion of a specific target region are common problems for navigation during surgical interventions. Optical coherence tomography (OCT) is an imaging modality with a high spatial and temporal resoluti...
Tomography, Optical Coherence Equipment Design Robotic Surgical Procedures Motion Tissue Distribution Deep Learning Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI

Predicting conversion to wet age-related macular degeneration using deep learning.

Nature medicine May 18, 2020
Progression to exudative 'wet' age-related macular degeneration (exAMD) is a major cause of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an artificial intelligence (AI) system to predict progression to exAMD in the ...
Deep Learning Imaging, Three-Dimensional Tomography, Optical Coherence Macular Degeneration Aged Aged, 80 and over Male Disease Progression Early Diagnosis Wet Macular Degeneration Early Medical Intervention Geographic Atrophy Humans Prognosis Female
View on PubMed DOI

Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Humans Retrospective Studies Female Aged Adult Tomography, Optical Coherence Visual Fields Middle Aged Visual Field Tests Deep Learning Optic Nerve Diseases Visual Acuity Slit Lamp Microscopy Vision Disorders Sensitivity and Specificity Axial Length, Eye Cross-Sectional Studies Glaucoma, Open-Angle Intraocular Pressure Male Gonioscopy
View on PubMed DOI

A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Expert review of molecular diagnostics May 3, 2020
BACKGROUND: A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. T...
Aged Adult Male Middle Aged Neural Networks, Computer Glaucoma Algorithms Female Tomography, Optical Coherence Observer Variation Retinal Ganglion Cells Automation Annexin A5 Disease Progression Humans Image Processing, Computer-Assisted Apoptosis Clinical Trials, Phase II as Topic
View on PubMed DOI

A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

PloS one Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Macula Lutea Angiogenesis Inhibitors Receptors, Vascular Endothelial Growth Factor Treatment Outcome Bevacizumab Tomography, Optical Coherence Retinal Vein Occlusion Drug Monitoring Male Humans Workflow Middle Aged Machine Learning Macular Edema Pilot Projects Female Vascular Endothelial Growth Factor A Image Processing, Computer-Assisted Adult Recombinant Fusion Proteins
View on PubMed DOI

Predicting Glaucoma before Onset Using Deep Learning.

Ophthalmology. Glaucoma Apr 29, 2020
PURPOSE: To assess the accuracy of deep learning models to predict glaucoma development from fundus photographs several years before disease onset.
Glaucoma Prospective Studies Female Intraocular Pressure Male Middle Aged Deep Learning Predictive Value of Tests Humans Tomography, Optical Coherence Retinal Ganglion Cells Visual Fields
View on PubMed DOI

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

PloS one Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
Humans Blindness Female Tomography, Optical Coherence Aged Choroidal Neovascularization Image Interpretation, Computer-Assisted Adult Retinoschisis Datasets as Topic Deep Learning Macula Lutea Male Mass Screening ROC Curve Diagnosis, Differential Middle Aged Choroid Myopia Severity of Illness Index
View on PubMed DOI

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.

Translational vision science & technology Apr 15, 2020
PURPOSE: To remove blood vessel shadows from optical coherence tomography (OCT) images of the optic nerve head (ONH).
Optic Disk Algorithms Deep Learning Humans Tomography, Optical Coherence Retina
View on PubMed DOI

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography.

Translational vision science & technology Apr 13, 2020
PURPOSE: To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) images and their corresponding co-registered structural images.
Humans Diabetic Retinopathy Deep Learning Fluorescein Angiography Diabetes Mellitus Retinal Vessels Tomography, Optical Coherence
View on PubMed DOI
Popular Topics
Recent Journals