May 18, 2017 · The tool has been tested on 200 images from different public databases achieving an accuracy value of 96.63%. This quality level makes the ...
Feb 24, 2024 · In this study, we develop a robust and accurate automated system employing deep learning (DL) techniques, specifically the YOLOv7 architecture, ...
A fast and accurate method for glaucoma screening from smartphone-captured fundus images · Medicine, Engineering. IRBM · 2021.
Oct 28, 2024 · This study presents the development of effective and accurate fixation of the optic disc using the Bitterling Fish Optimization (BFO) algorithm.
This article proposes a novel deep learning model to automatically segment the optic disc in retinal fundus images by using the concepts of semi-supervised ...
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Automatic detection of optic disc (OD) in fundus images is used to determine potential clinical parameters for diagnosis of retinopathic diseases.
This study proposes a method that automatically segments the optic disc area in retinal fundus images using deep learning based on a convolutional neural ...
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Here, we sought to develop and validate a deep-learning-based algorithm to automatically determine the CDR from fundus images.
Early detection is essential to delay its evolution and avoid vision loss. For this purpose, retinal fundus images can be used to assess the cup-to-disc.