Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
Joint segmentation and uncertainty visualization of retinal layers in optical coherence tomography images using Bayesian deep learning
Optical coherence tomography (OCT) is commonly used to analyze retinal layers for
assessment of ocular diseases. In this paper, we propose a method for retinal layer …
assessment of ocular diseases. In this paper, we propose a method for retinal layer …
Heterogeneous integration technology demonstrations for future healthcare, IoT, and AI computing solutions
JU Knickerbocker, R Budd, B Dang… - 2018 IEEE 68th …, 2018 - ieeexplore.ieee.org
Innovations in healthcare, diagnostics, sensors and data analysis with Artificial Intelligence
(AI) learning/recommendations offer opportunities for improved personalized healthcare …
(AI) learning/recommendations offer opportunities for improved personalized healthcare …
Screening retinal images and extraction of the retinal blood vessel for identifying diseases and classification of arteries and veins by using deep learning
In recent years, the extraction of retinal blood vessels from low contrast retinal images has
become a challenging task for diagnosing retinal diseases such as Diabetic Retinopathy …
become a challenging task for diagnosing retinal diseases such as Diabetic Retinopathy …
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in x-ray images
Localization of chest pathologies in chest X-ray images is a challenging task because of
their varying sizes and appearances. We propose a novel weakly supervised method to …
their varying sizes and appearances. We propose a novel weakly supervised method to …
End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network
Accurately locating the fovea is a prerequisite for developing computer aided diagnosis
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
Optic disc, cup and fovea detection from retinal images using U-Net++ with EfficientNet encoder
The accurate detection of retinal structures like an optic disc (OD), cup, and fovea is crucial
for the analysis of Age-related Macular Degeneration (AMD), Glaucoma, and other retinal …
for the analysis of Age-related Macular Degeneration (AMD), Glaucoma, and other retinal …
A Straightforward Bifurcation Pattern-Based Fundus Image Registration Method
JE Ochoa-Astorga, L Wang, W Du, Y Peng - Sensors, 2023 - mdpi.com
Fundus image registration is crucial in eye disease examination, as it enables the alignment
of overlapping fundus images, facilitating a comprehensive assessment of conditions like …
of overlapping fundus images, facilitating a comprehensive assessment of conditions like …
Robust fovea localization based on symmetry measure
X Guo, H Wang, X Lu, X Hu, S Che… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Automatic fovea localization is a challenging issue. In this article, we focus on the study of
fovea localization and propose a robust fovea localization method. We propose concentric …
fovea localization and propose a robust fovea localization method. We propose concentric …