Applications of deep learning in fundus images: A review

T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu - Medical Image Analysis, 2021 - Elsevier
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 …

Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification

A Bilal, A Imran, TI Baig, X Liu, H Long, A Alzahrani… - Plos one, 2024 - journals.plos.org
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
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

S Sedai, B Antony, D Mahapatra, R Garnavi - … Pathology and Ophthalmic …, 2018 - Springer
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 …

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 …

Screening retinal images and extraction of the retinal blood vessel for identifying diseases and classification of arteries and veins by using deep learning

KS Kumar, S Yadav… - Recent Advances in …, 2023 - benthamdirect.com
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 …

Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in x-ray images

S Sedai, D Mahapatra, Z Ge, R Chakravorty… - Machine Learning in …, 2018 - Springer
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 …

End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network

R Xie, J Liu, R Cao, CS Qiu, J Duan… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
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 …

Optic disc, cup and fovea detection from retinal images using U-Net++ with EfficientNet encoder

R Kamble, P Samanta, N Singhal - … , OMIA 2020, Held in Conjunction with …, 2020 - Springer
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 …

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 …

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 …