Results 41 to 50 of about 321,318 (176)

Deep Angiogram: Trivializing Retinal Vessel Segmentation [PDF]

In Medical Imaging 2023: Image Processing, vol. 12464, pp. 656-660. SPIE, 2023, 2023
Among the research efforts to segment the retinal vasculature from fundus images, deep learning models consistently achieve superior performance. However, this data-driven approach is very sensitive to domain shifts. For fundus images, such data distribution changes can easily be caused by variations in illumination conditions as well as the presence ...
arxiv  

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs [PDF]

Ophthalmology. 2018 Nov 22. pii: S0161-6420(18)32185-7, 2018
In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming participation of expert practitioners.
arxiv   +1 more source

Association of Longitudinal Changes in Drusen Characteristics and Retinal Layer Volumes with Subsequent Subtype of Choroidal Neovascularisation

Ophthalmic Research, 2019
Aim: To investigate the longitudinal correlation between drusen characteristics and retinal layer volumes pre conversion and subsequent type of choroidal neovascularisation (CNV). Methods: This was a single-centre retrospective study.
Ali Lamin, Amgad El Nokrashy, S. Chandra, S. Sivaprasad   +3 more
semanticscholar   +1 more source

Differential Organ Ageing Is Associated With Age‐Related Macular Degeneration

Aging Cell, EarlyView.
Using the UK Biobank, this study trained neural networks to estimate the biological age of individuals according to markers of organ function. Computing the difference between the estimated organ age and chronological age yielded an estimate for accelerated or slowed ageing.
Anastasios Papadam, Arimantas Lionikas, Felix Grassmann   +2 more
wiley   +1 more source

A Deep Learning-Based Framework for Retinal Disease Classification

Healthcare, 2023
This study addresses the problem of the automatic detection of disease states of the retina. In order to solve the abovementioned problem, this study develops an artificially intelligent model.
A. Choudhary, Savita Ahlawat, S. Urooj, Nitish Pathak, A. Lay-Ekuakille, N. Sharma   +5 more
semanticscholar   +1 more source

HYPERSPECTRAL AUTOFLUORESCENCE IMAGING OF DRUSEN AND RETINAL PIGMENT EPITHELIUM IN DONOR EYES WITH AGE-RELATED MACULAR DEGENERATION.

Retina, 2016
PURPOSE To elucidate the molecular pathogenesis of age-related macular degeneration (AMD) and interpretation of fundus autofluorescence imaging, the authors identified spectral autofluorescence characteristics of drusen and retinal pigment epithelium ...
Yuehong Tong, Tal Ben Ami, Sungmin Hong, R. Heintzmann, R. Heintzmann, G. Gerig, Z. Ablonczy, C. Curcio, T. Ach, R. T. Smith   +9 more
semanticscholar   +2 more sources

Significance of Hyperreflective Foci as an Optical Coherence Tomography Biomarker in Retinal Diseases: Characterization and Clinical Implications

Journal of Ophthalmology, 2021
Hyperreflective foci (HRF) is a term coined to depict hyperreflective dots or roundish lesions within retinal layers visualized through optical coherence tomography (OCT).
Serena Fragiotta, Solmaz Abdolrahimzadeh, Rosa Dolz-Marco, Yoichi Sakurada, Orly Gal-Or, Gianluca Scuderi   +5 more
doaj   +1 more source

Activated mTOR Signaling in the RPE Drives EMT, Autophagy, and Metabolic Disruption, Resulting in AMD‐Like Pathology in Mice

Aging Cell, EarlyView.
Our study reveals that overactivation of both mTOR complexes through mLST8 in RPE cells triggers AMD‐like pathology and cellular dysfunction. This finding highlights the critical role of balanced mTOR signaling in retinal health and suggests that targeting both complexes could be therapeutic for AMD treatment.
Olivia Chowdhury, Sridhar Bammidi, Pooja Gautam, Vishnu Suresh Babu, Haitao Liu, Peng Shang, Ying Xin, Emma Mahally, Mihir Nemani, Victoria Koontz, Kira Lathrop, Katarzyna M. Kedziora, Jonathan Franks, Ming Sun, Joshua W. Smith, Lauren R. DeVine, Robert N. Cole, Nadezda Stepicheva, Anastasia Strizhakova, Sreya Chattopadhyay, Stacey Hose, Jacob Samuel Zigler Jr., José‐Alain Sahel, Jiang Qian, Prasun Guha, James T. Handa, Sayan Ghosh, Debasish Sinha   +27 more
wiley   +1 more source

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions [PDF]

arXiv, 2020
Retinal lesions play a vital role in the accurate classification of retinal abnormalities. Many researchers have proposed deep lesion-aware screening systems that analyze and grade the progression of retinopathy. However, to the best of our knowledge, no literature exploits the tendency of these systems to generalize across multiple scanner ...
arxiv  

Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders [PDF]

, 2019
Purpose: To assess whether a generative adversarial network (GAN) could synthesize realistic optical coherence tomography (OCT) images that satisfactorily serve as the educational images for retinal specialists and the training datasets for the classification of various retinal disorders using deep learning (DL).
arxiv   +1 more source