Eye fundus image classification device and method based on deep learning for diagnosing eye diseases

The invention discloses a deep learning-based fundus image classification device and method for diagnosing eye diseases. A deep learning-based fundus image classification device for diagnosing an eye disease according to one embodiment of the present invention comprises: a data preprocessing unit for normalizing image data before learning a model by preprocessing retinal fundus image data; and a retina image classification unit that classifies a retina image by training and testing the pre-processed retina fundus image data, and classifies the retina image using layered 10-fold cross validation. 本发明公开用于诊断眼疾的基于深度学习的眼底影像分类装置及方法。本发明一实施方式的用于诊断眼疾的基于深度学习的眼底影像分类装置包括：数据预处理部，通过预处理视网膜眼底图像数据来在学习模型前针对图像数据进行正规化；以及视网膜图像分类部，通过训练并测试预处理的上述视网膜眼底图像数据来对视网膜图像进行分类，使用分层化的10折交叉验证来对视网膜图像进行分类。