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Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications
Published 2025-07-01“…In contrast, the Swin transformer showed single-model (macular), single-model (optic disk), and multimodel average accuracies of 82.25%, 74.936%, and 85.06%, respectively, for predicting hypertension.ConclusionThe changes caused by hypertension on the fundus vessels can be observed more accurately and efficiently using OCTA image features through deep learning. …”
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Analyse de l’impact du conformisme social sur l’adoption de l’e-learning dans un pays en développement
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WATER EFFICIENCY POTENTIAL OF UNIVERSITY CAMPUSES TOWARDS LEED CRITERIA:: A CASE STUDY IN TURKEY
Published 2025-08-01Get full text
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Important factors for the entrepreneurship in Central Europe
Published 2019-06-01Get full text
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Important factors for the entrepreneurship in Central Europe
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Evaluating the Spatial Coverage of Air Quality Monitoring Stations Using Computational Fluid Dynamics
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PCED1A serves as a potential biomarker for diagnosis and prognosis in colorectal cancer
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Prospective Validation and Usability Evaluation of a Mobile Diagnostic App for Obstructive Sleep Apnea
Published 2024-11-01Get full text
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