Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification

Dataset of validated OCT and Chest X-Ray images described and analyzed in "Deep learning-based classification and referral of treatable human diseases". The OCT Images are split into a training set and a testing set of independent patients. OCT Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.

本数据集包含经验证的光学相干断层扫描（OCT）和胸部X射线图像，这些图像在《基于深度学习的可治疗人类疾病分类与转诊》一文中进行了描述与分析。OCT图像被划分为独立患者的训练集和测试集。OCT图像以（疾病名称）-（随机患者ID）-（该患者图像编号）的形式进行标记，并分为CNV、DME、DRUSEN和NORMAL四个目录。