Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images

Be sure to download the most recent version of this dataset to maintain accuracy. This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". The images are split into a training set and a testing set of independent patients. Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL. This repository of images is made available for use in research only. How to cite this data: Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.

请务必下载本数据集的最新版本，以保障分析结果的准确性。本数据集包含数千张经过验证的光学相干断层扫描（Optical Coherence Tomography, OCT）及胸部X线影像，相关研究内容已在《基于图像的深度学习识别医疗诊断与可治疗疾病》（Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning）一文中完成阐述与分析。影像按独立患者群体分组，划分为训练集与测试集。所有影像均采用「疾病类别-随机分配的患者ID-该患者的影像序号」格式进行标注，并被划分至CNV、DME、DRUSEN与NORMAL四个目录下。本影像数据集仅可用于科研用途。该数据集的引用方式如下：Kermany D、Goldbaum M、Cai W 等. 基于图像的深度学习识别医疗诊断与可治疗疾病. 细胞（Cell）. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.