[HTML][HTML] Progress on retinal image analysis for age related macular degeneration
Age-related macular degeneration (AMD) is the leading cause of vision loss in those over
the age of 50 years in the developed countries. The number is expected to increase by∼ 1.5 …
the age of 50 years in the developed countries. The number is expected to increase by∼ 1.5 …
[HTML][HTML] Artificial intelligence algorithms for analysis of geographic atrophy: a review and evaluation
Purpose: The purpose of this study was to summarize and evaluate artificial intelligence (AI)
algorithms used in geographic atrophy (GA) diagnostic processes (eg isolating lesions or …
algorithms used in geographic atrophy (GA) diagnostic processes (eg isolating lesions or …
[HTML][HTML] Geographic atrophy segmentation using multimodal deep learning
Purpose: To examine deep learning (DL)–based methods for accurate segmentation of
geographic atrophy (GA) lesions using fundus autofluorescence (FAF) and near-infrared …
geographic atrophy (GA) lesions using fundus autofluorescence (FAF) and near-infrared …
Automated segmentation and feature discovery of age-related macular degeneration and Stargardt disease via self-attended neural networks
Age-related macular degeneration (AMD) and Stargardt disease are the leading causes of
blindness for the elderly and young adults respectively. Geographic atrophy (GA) of AMD …
blindness for the elderly and young adults respectively. Geographic atrophy (GA) of AMD …
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images
Background: Age-related macular degeneration (AMD), left untreated, is the leading cause
of vision loss in people older than 55. Severe central vision loss occurs in the advanced …
of vision loss in people older than 55. Severe central vision loss occurs in the advanced …
Infrared reflectance imaging in age‐related macular degeneration
Purpose The purpose of this article is to describe the appearance of age‐related macular
degeneration (AMD) phenotypes using infrared (IR) reflectance imaging. IR reflectance …
degeneration (AMD) phenotypes using infrared (IR) reflectance imaging. IR reflectance …
[HTML][HTML] Deep learning applied to automated segmentation of geographic atrophy in fundus autofluorescence images
Purpose: This study describes the development of a deep learning algorithm based on the U-
Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus …
Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus …
Automated image alignment and segmentation to follow progression of geographic atrophy in age-related macular degeneration
Purpose: To develop a computer-based image segmentation method for standardizing the
quantification of geographic atrophy (GA). Methods: The authors present an automated …
quantification of geographic atrophy (GA). Methods: The authors present an automated …
Semi-automated discrimination of retinal pigmented epithelial cells in two-photon fluorescence images of mouse retinas
NS Alexander, G Palczewska… - Biomedical Optics …, 2015 - opg.optica.org
Automated image segmentation is a critical step toward achieving a quantitative evaluation
of disease states with imaging techniques. Two-photon fluorescence microscopy (TPM) has …
of disease states with imaging techniques. Two-photon fluorescence microscopy (TPM) has …
Detection, extraction and quantitative measurement of atrophic regions on retinal surface in color fundus images
A Poshtyar, Z Ghassabi, S Aghamiri… - … Congress on Image …, 2012 - ieeexplore.ieee.org
The problem of automatic detection and extraction of pathological images still remains an
unsolved problem. The aim of this paper is to develop an automatic method for the detection …
unsolved problem. The aim of this paper is to develop an automatic method for the detection …