Results 91 to 100 of about 62,474 (297)
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis [PDF]
arXiv, 2020 Background: The lack of explanations for the decisions made by algorithms such as deep learning has hampered their acceptance by the clinical community despite highly accurate results on multiple problems. Recently, attribution methods have emerged for explaining deep learning models, and they have been tested on medical imaging problems.
arxiv
In Vivo Multimodal Imaging of Drusenoid Lesions in Rhesus Macaques. [PDF]
, 2017 Nonhuman primates are the only mammals to possess a true macula similar to humans, and spontaneously develop drusenoid lesions which are hallmarks of age-related macular degeneration (AMD).
Cunefare, David +8 more
core +2 more sources
Acta Ophthalmologica, EarlyView.Abstract Purpose To validate a deep learning (DL) framework for detecting and quantifying cystoid fluid collections (CFC) on spectral‐domain optical coherence tomography (SD‐OCT) in X‐linked retinoschisis (XLRS) patients. Methods A no‐new‐U‐Net model was trained using 112 OCT volumes from the RETOUCH challenge (70 for training and 42 for internal ...
Jonathan Hensman +5 more
wiley +1 more source
Deep learning architecture LightOCT for diagnostic decision support using optical coherence tomography images of biological samples [PDF]
arXiv, 2018 Optical coherence tomography (OCT) is being increasingly adopted as a label-free and non-invasive technique for biomedical applications such as cancer and ocular disease diagnosis. Diagnostic information for these tissues is manifest in textural and geometric features of the OCT images, which are used by human expertise to interpret and triage. However,
arxiv
Acta Ophthalmologica, EarlyView.Abstract The aim of this review was to evaluate the comparative efficacy of intravitreal anti‐vascular endothelial growth factor (anti‐VEGF) therapy for neovascular AMD. We searched 12 literature databases for randomised clinical trials (RCT) on anti‐VEGF therapy for neovascular AMD and extracted data on: change from baseline to 12 months in best ...
Emilie T. S. Butler +17 more
wiley +1 more source
Drug Design, Development and Therapy, 2022 Archana A Nair, Avni P Finn, Paul Sternberg Jr Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, USACorrespondence: Paul Sternberg Jr, Chair and G. W.
Nair AA, Finn AP, Sternberg P Jr
doaj
Age-related macular degeneration: therapeutic modalities [PDF]
, 2001 To describe the clinical and surgical therapeutic modalities in age-related macular degeneration (ARMD).Descrever as modalidades de tratamento clínico e cirúrgico das complicações da degeneração macular relacionada à idade (DMRI).Universidade Federal de ...
Costa, Rogerio Alves +3 more
core +2 more sources
Acta Ophthalmologica, EarlyView.Abstract Purpose This trial evaluated the noninferiority of a relaxed compared to a strict treat‐and‐extend treatment strategy in patients with neovascular Age‐related macular degeneration (AMD). Methods Multicenter, randomized, controlled, phase IV, non‐inferiority clinical trial.
Damian Jaggi +9 more
wiley +1 more source
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report [PDF]
arXiv, 2020 Age related macular degeneration (AMD) is one of the major causes for blindness in the elderly population. In this report, we propose deep learning based methods for retinal analysis using color fundus images for computer aided diagnosis of AMD.
arxiv
A variance components factor model for genetic association studies: a Bayesian analysis.
, 2010 Studies of gene-trait associations for complex diseases often involve multiple traits that may vary by genotype groups or patterns. Such traits are usually manifestations of lower-dimensional latent factors or disease syndromes.
Nonyane, BAS, Whittaker, JC
core +1 more source