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.

本数据集为《基于深度学习的可治疗人类疾病分类与转诊》一文所描述与分析的已验证的光学相干断层扫描（Optical Coherence Tomography, OCT）与胸部X射线（Chest X-Ray）图像数据集。该OCT图像依据独立患者划分为训练集与测试集。OCT图像的命名格式为（疾病）-（随机患者ID）-（该患者的图像编号），并被划分为CNV、DME、DRUSEN与NORMAL四个目录。