AIMC Topic: Fovea Centralis
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FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality.
IEEE transactions on visualization and computer graphics
Apr 25, 2025
Leveraging real-time eye tracking, foveated rendering optimizes hardware efficiency and enhances visual quality virtual reality (VR). This approach leverages eye-tracking techniques to determine where the user is looking, allowing the system to rende...
Sharper insights: Adaptive ellipse-template for robust fovea localization in challenging retinal landscapes.
Computers in biology and medicine
Apr 20, 2025
Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diabetic retinopathy and other ocular diseases. But accurate identification is challenging due to varying contrast, color irregularities, anatomical struc...
Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms.
PloS one
Dec 16, 2024
PURPOSE: The objective of this study is to estimate the area of the Foveal Avascular Zone (FAZ) from B-scan OCT images using machine learning algorithms.
DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization.
IEEE journal of biomedical and health informatics
Dec 5, 2024
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local anatomical landma...
JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection.
Computers in biology and medicine
May 17, 2024
Deep learning-based image segmentation and detection models have largely improved the efficiency of analyzing retinal landmarks such as optic disc (OD), optic cup (OC), and fovea. However, factors including ophthalmic disease-related lesions and low ...
OCT-based deep-learning models for the identification of retinal key signs.
Scientific reports
Sep 5, 2023
A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local hospital...
Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.
IEEE journal of biomedical and health informatics
Aug 11, 2022
The fovea centralis is an essential landmark in the retina where the photoreceptor layer is entirely composed of cones responsible for sharp, central vision. The localization of this anatomical landmark in optical coherence tomography (OCT) volumes i...
Cynomolgus monkey's choroid reference database derived from hybrid deep learning optical coherence tomography segmentation.
Scientific reports
Aug 2, 2022
Cynomolgus monkeys exhibit human-like features, such as a fovea, so they are often used in non-clinical research. Nevertheless, little is known about the natural variation of the choroidal thickness in relation to origin and sex. A combination of dee...
Correlation of choroidal thickness with age in healthy subjects: automatic detection and segmentation using a deep learning model.
International ophthalmology
Apr 5, 2022
PROPOSE: The proposed deep learning model with a mask region-based convolutional neural network (Mask R-CNN) can predict choroidal thickness automatically. Changes in choroidal thickness with age can be detected with manual measurements. In this stud...
Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia.
Journal of diabetes research
Feb 26, 2022
OBJECTIVES: The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia (DMI), to automate the identification and quantification of the FAZ in DMI, using an improved U-Net convolutional neural network (CNN) and to establi...
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