VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

We describe here a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manually annotated by a total of 17 experienced radiologists with 22 local labels of rectangles surrounding abnormalities and 6 global labels of suspected diseases. The released dataset is divided into a training set of 15,000 and a test set of 3,000. Each scan in the training set was independently labeled by 3 radiologists, while each scan in the test set was labeled by the consensus of 5 radiologists. All images are in DICOM format and the labels from training and test sets are made publicly available.本文介绍了一个包含超过10万份胸部X射线扫描影像的数据集，该数据集回顾性采集自越南两家大型医院。在原始采集数据中，我们公开了其中18000张影像，这些影像由共计17名经验丰富的放射科医师完成手动标注：标注涵盖22种针对异常区域的矩形框局部标签，以及6种疑似病变的全局标签。本次公开的数据集被划分为包含15000份影像的训练集与包含3000份影像的测试集；其中，训练集的每份影像均由3名放射科医师独立标注，而测试集的每份影像则经5名放射科医师共同达成共识后完成标注。所有影像均采用DICOM格式，训练集与测试集的标签均已对外公开。

搜集汇总

背景与挑战

背景概述

VinDr-CXR是一个开放数据集，包含18,000张胸部X光扫描图像，由17名放射科医生手动标注了22种局部异常（带边界框）和6种全局疾病诊断。数据集分为15,000张训练图像和3,000张测试图像，专为开发胸部异常检测和定位算法而设计，是目前最大的公开胸部X光数据集，但仅适用于成人患者。