AIMC Topic: Vision Tests
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Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals.
Scientific reports
Oct 21, 2023
This study evaluated the performance of generative adversarial network (GAN)-synthesized periapical images for classifying C-shaped root canals, which are challenging to diagnose because of their complex morphology. GANs have emerged as a promising t...
ASSOCIATION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study.
Retina (Philadelphia, Pa.)
Mar 1, 2024
PURPOSE: To investigate fundus tessellation density (TD) and its association with axial length (AL) elongation and spherical equivalent (SE) progression in children.
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Investigative ophthalmology & visual science
Jun 1, 2018
PURPOSE: We evaluate how deep learning can be applied to extract novel information such as refractive error from retinal fundus imaging.
Lack of international uniformity in assessing color vision deficiency in professional pilots.
Aviation, space, and environmental medicine
Feb 1, 2014
INTRODUCTION: Color is an important characteristic of the aviation environment. Pilots must rapidly and accurately differentiate and identify colors. The medical standards published by the International Civil Aviation Organization (ICAO) require that...
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