AIMC Topic: Fundus Oculi

Clear Filters Showing 331 to 340 of 491 articles

Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Humans Neural Networks, Computer Machine Learning Aged, 80 and over Adult Sensitivity and Specificity Cross-Sectional Studies Algorithms Female Aged Image Interpretation, Computer-Assisted Datasets as Topic Retinal Diseases ROC Curve Area Under Curve Fundus Oculi Male Middle Aged Deep Learning
View on PubMed DOI

Microaneurysm detection in fundus images using a two-step convolutional neural network.

Biomedical engineering online May 29, 2019
BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is the leading cause of blindness worldwide, and therefore its early detection is important in order to reduce disease-related eye injuries. DR is diagnosed by inspecting fundus images. Since micro...
Fundus Oculi Microaneurysm Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Automated OCT angiography image quality assessment using a deep learning algorithm.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie May 22, 2019
PURPOSE: To expedite and to standardize the process of image quality assessment in optical coherence tomography angiography (OCTA) using a specialized deep learning algorithm (DLA).
Neural Networks, Computer Algorithms Retrospective Studies Humans Fundus Oculi Artifacts Fluorescein Angiography Retinal Vessels Reproducibility of Results Deep Learning Tomography, Optical Coherence
View on PubMed DOI

BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.

International journal of medical informatics Apr 1, 2019
BACKGROUND AND OBJECTIVE: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a challenging task due to complex vessel structure, the presence of simi...
Fundus Oculi Neural Networks, Computer Supervised Machine Learning Algorithms Humans Retinal Vessels
View on PubMed DOI

Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.

Ophthalmology. Glaucoma Apr 1, 2019
PURPOSE: To validate a deep residual learning algorithm to diagnose glaucoma from fundus photography using different fundus cameras at different institutes.
Fundus Oculi Optic Disk Fluorescein Angiography Female Aged Cross-Sectional Studies Male Deep Learning ROC Curve Humans Glaucoma Algorithms
View on PubMed DOI

Quality and content analysis of fundus images using deep learning.

Computers in biology and medicine Mar 26, 2019
Automatic retinal image analysis has remained an important topic of research in the last ten years. Various algorithms and methods have been developed for analysing retinal images. The majority of these methods use public retinal image databases for ...
Deep Learning Image Processing, Computer-Assisted Fundus Oculi Databases, Factual Female Male Humans
View on PubMed DOI

A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images.

IEEE transactions on medical imaging Mar 20, 2019
Obtaining the complete segmentation map of retinal lesions is the first step toward an automated diagnosis tool for retinopathy that is interpretable in its decision-making. However, the limited availability of ground truth lesion detection maps at a...
Humans Databases, Factual Image Interpretation, Computer-Assisted Fundus Oculi ROC Curve Retinal Diseases Retina Diagnostic Techniques, Ophthalmological Supervised Machine Learning
View on PubMed DOI

CNNs for automatic glaucoma assessment using fundus images: an extensive validation.

Biomedical engineering online Mar 20, 2019
BACKGROUND: Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the extracted features. Among ot...
Databases, Factual Time Factors Image Processing, Computer-Assisted Fundus Oculi Humans Neural Networks, Computer Glaucoma
View on PubMed DOI

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

IEEE transactions on medical imaging Feb 18, 2019
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising...
Neural Networks, Computer Glaucoma Databases, Factual Optic Disk Humans ROC Curve Diagnostic Techniques, Ophthalmological Fundus Oculi Image Interpretation, Computer-Assisted
View on PubMed DOI

Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images.

Journal of healthcare engineering Feb 18, 2019
This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients with open-angle glaucoma, based on three-dimensional optical coherence tomography (OCT) data and color fundus images. In this study, 208 glaucomatous an...
Retina Image Interpretation, Computer-Assisted Adult Algorithms Area Under Curve Male Humans Female Tomography, Optical Coherence Middle Aged Glaucoma Aged Fundus Oculi Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals