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7 days ago · Image processing algorithms are employed to enhance and segment retinal images, facilitating the detection of abnormalities.
5 days ago · The paper [33] presents a novel deep learning framework utilizing attention-based Swin U-Net for accurate segmentation of fundus images, followed by a hybrid ...
4 days ago · Our findings reveal that the developed distributed learning framework achieves retinal age prediction performance on par with centralized methods, with FL and ...
5 days ago · Webster. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA, 316(22):2402 ...
6 days ago · Deep neural networks can extract clinical information, such as diabetic retinopathy status and individual characteristics (e.g. age and sex), from retinal ...
2 days ago · Importance: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the cost and improve the efficiency of reading center ...
6 days ago · By using the proposed tool, learners will be able to identify the disease of diabetic retinopathy, and more familiar with the classification of fundus images.
Missing: Screening. | Show results with:Screening.
5 days ago · Refined image quality assessment for color fundus photography based on deep learning ... Automated facial recognition system using deep learning for pain ...
Missing: Retinopathy | Show results with:Retinopathy
18 hours ago · Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina's unique features ...
Dr. R. V. Paul Chan, MD | Chicago, IL | Ophthalmologist | US News Doctors
health.usnews.com › Doctors
7 days ago · Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Aaron S. Coyner, Ryan Swan, J. Peter ...