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.

搜集汇总

背景与挑战

背景概述

该数据集是一个大型医学图像数据集，包含数千张经过验证的光学相干断层扫描（OCT）和胸部X射线图像，用于图像深度学习研究。图像按疾病类型分为CNV、DME、DRUSEN和NORMAL四个类别，并按独立患者分为训练集和测试集，标签详细包含疾病、患者ID和图像编号。数据集仅限研究使用，并附有明确的引用要求。