论文标题
超宽场扫描激光眼镜图中的视盘和中央凹定位，以多种方式捕获
Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities
论文作者
论文摘要
我们提出了一个卷积神经网络，用于将视网膜扫描激光眼镜（UWFOV-SLO）图像中的视盘（OD）（OD）（OD）的中心定位。使用了反射率和自动荧光（AF）模式的图像，以及中央杆和目击者的凝视。该方法在一个OD半径内达到了OD定位精度为99.4％，在包含1790张图像的测试集中，在一个OD半径内，FoveA定位精度为99.1％。 Fovea在AF图像中定位的性能与此任务中人类注释者之间的变化相当。图像的横向性（无论图像是左眼还是右眼的图像）是从OD和Fovea坐标推断出的，精度为99.9％
We propose a convolutional neural network for localising the centres of the optic disc (OD) and fovea in ultra-wide field of view scanning laser ophthalmoscope (UWFoV-SLO) images of the retina. Images captured in both reflectance and autofluorescence (AF) modes, and central pole and eyesteered gazes, were used. The method achieved an OD localisation accuracy of 99.4% within one OD radius, and fovea localisation accuracy of 99.1% within one OD radius on a test set comprising of 1790 images. The performance of fovea localisation in AF images was comparable to the variation between human annotators at this task. The laterality of the image (whether the image is of the left or right eye) was inferred from the OD and fovea coordinates with an accuracy of 99.9%
