An artificial intelligence model for the simulation of visual effects in patients with visual field defects
Author(s) -
Zhan Zhou,
Bingbing Li,
Jinyu Su,
Xianming Fan,
Liang Chen,
Song Tang,
Jian-Qing Zheng,
Tong Zhang,
Zhi-Yong Meng,
Zhimeng Chen,
Hongwei Deng,
Jianmin Hu,
Jun Zhao
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2020.02.162
Subject(s) - grayscale , artificial intelligence , computer science , convolutional neural network , visual field , artificial neural network , pattern recognition (psychology) , matching (statistics) , data set , reliability (semiconductor) , deep learning , visual inspection , computer vision , statistics , mathematics , image (mathematics) , medicine , ophthalmology , quantum mechanics , power (physics) , physics
An AI model with high accuracy was established to simulate the visual effects in patients with VF defects.
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