论文标题
计算机辅助诊断和在青光眼筛查中使用彩色底面摄影的诊断和分布外检测
Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography
论文作者
论文摘要
针对强大青光眼筛查（Airogs）挑战的人工智能为开发用于青光眼筛查的解决方案，从颜色的粉底摄影到现实世界情景。该报告描述了我们提交的Airogs挑战的方法。我们的方法采用卷积神经网络将输入图像分类为“引用的青光眼”或“无引用的青光眼”。此外，我们引入了推理时间分布（OOD）检测方法，以识别无法解决的图像。我们的OOD检测基于一种基于能量的方法与激活整流。
Artificial Intelligence for RObust Glaucoma Screening (AIROGS) Challenge is held for developing solutions for glaucoma screening from color fundus photography that are robust to real-world scenarios. This report describes our method submitted to the AIROGS challenge. Our method employs convolutional neural networks to classify input images to "referable glaucoma" or "no referable glaucoma". In addition, we introduce an inference-time out-of-distribution (OOD) detection method to identify ungradable images. Our OOD detection is based on an energy-based method combined with activation rectification.
