论文标题
与年龄相关的黄斑变性的眼底图像分析：Adam-2020挑战报告
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report
论文作者
论文摘要
与年龄相关的黄斑变性（AMD）是老年人口失明的主要原因之一。在本报告中，我们提出了使用颜色底面图像用于计算机辅助诊断AMD的基于深度学习的方法进行视网膜分析的方法。我们利用最新的最深层网络的状态来构建基于底眼图像的单一图像分类管道。我们还提出了其他直接相关和辅助任务的方法，例如病变检测和分割，中央凹检测和视盘分段。我们建议将生成对抗网络（GAN）用于分割和检测任务。我们还提出了一种新型的使用gan的中央凹检测方法。
Age related macular degeneration (AMD) is one of the major causes for blindness in the elderly population. In this report, we propose deep learning based methods for retinal analysis using color fundus images for computer aided diagnosis of AMD. We leverage the recent state of the art deep networks for building a single fundus image based AMD classification pipeline. We also propose methods for the other directly relevant and auxiliary tasks such as lesions detection and segmentation, fovea detection and optic disc segmentation. We propose the use of generative adversarial networks (GANs) for the tasks of segmentation and detection. We also propose a novel method of fovea detection using GANs.
