AIMC Topic: Retina

Clear Filters Showing 311 to 320 of 454 articles

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Infant, Newborn Reproducibility of Results Deep Learning Humans Neural Networks, Computer ROC Curve Infant, Premature Algorithms Area Under Curve Retinopathy of Prematurity Fundus Oculi Retina Telemedicine
View on PubMed

Development of an artificial intelligence system to classify pathology and clinical features on retinal fundus images.

Clinical & experimental ophthalmology Nov 15, 2018
IMPORTANCE: Artificial intelligence (AI) algorithms are under development for use in diabetic retinopathy photo screening pathways. To be clinically acceptable, such systems must also be able to classify other fundus abnormalities and clinical featur...
Retrospective Studies Retina Reproducibility of Results Macular Edema Humans Sensitivity and Specificity Macular Degeneration Diabetic Retinopathy Photography Glaucoma ROC Curve Artificial Intelligence Area Under Curve Databases, Factual Fundus Oculi
View on PubMed DOI

Retinal image analytics detects white matter hyperintensities in healthy adults.

Annals of clinical and translational neurology Nov 15, 2018
OBJECTIVE: We investigated whether an automatic retinal image analysis (ARIA) incorporating machine learning approach can identify asymptomatic older adults harboring high burden of white matter hyperintensities (WMH) using MRI as gold standard.
Male Female Humans Image Interpretation, Computer-Assisted Aged Magnetic Resonance Imaging Machine Learning Diagnostic Techniques, Ophthalmological Cross-Sectional Studies Retina Brain White Matter
View on PubMed DOI

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.

IEEE transactions on medical imaging Oct 22, 2018
The identification and quantification of markers in medical images is critical for diagnosis, prognosis, and disease management. Supervised machine learning enables the detection and exploitation of findings that are known a priori after annotation o...
Unsupervised Machine Learning Tomography, Optical Coherence Retina Macular Degeneration Image Interpretation, Computer-Assisted Algorithms Biomarkers ROC Curve Humans
View on PubMed DOI

Generative Adversarial Network for Medical Images (MI-GAN).

Journal of medical systems Oct 12, 2018
Deep learning algorithms produces state-of-the-art results for different machine learning and computer vision tasks. To perform well on a given task, these algorithms require large dataset for training. However, deep learning algorithms lack generali...
Algorithms Diagnostic Techniques, Ophthalmological Deep Learning Image Processing, Computer-Assisted Retina
View on PubMed DOI

Retinal image quality assessment using deep learning.

Computers in biology and medicine Oct 11, 2018
Poor-quality retinal images do not allow an accurate medical diagnosis, and it is inconvenient for a patient to return to a medical center to repeat the fundus photography exam. In this paper, a robust automatic system is proposed to assess the quali...
Retina Diagnostic Techniques, Ophthalmological Algorithms Deep Learning Image Processing, Computer-Assisted Humans Diabetic Retinopathy
View on PubMed DOI

CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments.

PloS one Oct 10, 2018
Single-cell RNA sequencing (scRNA-seq) is an emerging technology for profiling the gene expression of thousands of cells at the single cell resolution. Currently, the labeling of cells in an scRNA-seq dataset is performed by manually characterizing c...
Sequence Analysis, RNA Access to Information Retina Pancreas Hematopoietic Stem Cells Embryo, Mammalian Datasets as Topic Time Factors Single-Cell Analysis Mice Humans Machine Learning Animals
View on PubMed DOI

Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.

Journal of medical systems Oct 4, 2018
Maculopathy is the group of diseases that affects central vision of a person and they are often associated with diabetes. Many researchers reported automated diagnosis of maculopathy from optical coherence tomography (OCT) images. However, to the bes...
Humans Neural Networks, Computer Research Design Tomography, Optical Coherence Retina Retinal Diseases
View on PubMed DOI

Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

Population health management Oct 2, 2018
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise...
Decision Support Techniques Humans Self-Management Artificial Intelligence Risk Assessment Diabetes Mellitus Forecasting Retina
View on PubMed DOI

Emergence of spontaneous assembly activity in developing neural networks without afferent input.

PLoS computational biology Sep 28, 2018
Spontaneous activity is a fundamental characteristic of the developing nervous system. Intriguingly, it often takes the form of multiple structured assemblies of neurons. Such assemblies can form even in the absence of afferent input, for instance in...
Sensory Receptor Cells Models, Neurological Superior Colliculi Models, Statistical Retina Stochastic Processes Neurogenesis Animals Zebrafish Neural Networks, Computer Male Calcium Software Neuronal Plasticity Female
View on PubMed DOI
Popular Topics
Recent Journals