2019年9月19日 · The MIMIC Chest X-ray (MIMIC-CXR) Database v2.0.0 is a large publicly available dataset of chest radiographs in DICOM format with free-text radiology reports. The dataset contains 377,110 images corresponding to 227,835 radiographic studies performed at the Beth Israel Deaconess Medical Center in Boston, MA.

MIMIC-CXR数据集提供了大量的胸部X-ray图像及相关的放射学报告，为医学研究者和学生提供了丰富的资源来学习和研究胸部疾病，如 肺炎 、 结核 和 肺癌 等。通过分析这些数据，研究人员可以更好地理解各种疾病的放射学表现，提高诊断的准确性和效率。

2023年10月28日 · The MIMIC-CXR-VQA dataset is a complex (involving set and logical operations), diverse (with 48 templates), and large-scale (approximately 377K) resource, designed specifically for Visual Question Answering (VQA) tasks in the medical domain.

2019年12月12日 · Here we present MIMIC Chest X-ray (MIMIC-CXR), a large publicly available dataset of chest radiographs with free-text radiology reports. The dataset contains 377,110 images corresponding to...

2024年3月12日 · The MIMIC Chest X-ray JPG (MIMIC-CXR-JPG) Database v2.0.0 is a large publicly available dataset of chest radiographs in JPG format with structured labels derived from free-text radiology reports.

2023年2月22日 · The MIMIC Chest X-ray (MIMIC-CXR) Database is a large publicly available dataset of chest radiographs in DICOM format with free-text radiology reports [1,2]. The dataset comprises over 370 thousand images corresponding to over 227 thousand radiographic studies performed at the Beth Israel Deaconess Medical Center in Boston, MA, USA.

今天，吴恩达发推公布了斯坦福发布的两个大型的医疗数据集公开： CheXpert 和 MIMIC-CXR。 其中，CheXpert内含224316X光胸部图片，MIMIC-CXR内含371,920张带标签的图片。 两个数据集的数据量级和标注精准度都非常高，可以说是造福了一大批相关从业者了。 数据集下载方式. 先给出数据集介绍的地址和下载方式。 stanfordmlgroup.github.io. 因为是医学数据集，斯坦福采取了相对谨慎的态度。 根据说明，用户需要遵守下载规则，填写资料然后通过电子邮件给出的链 …

2019年1月21日 · Here we describe MIMIC-CXR-JPG v2.0.0, a large dataset of 377,110 chest x-rays associated with 227,827 imaging studies sourced from the Beth Israel Deaconess Medical Center between 2011 - 2016. Images are provided with 14 labels derived from two natural language processing tools applied to the corresponding free-text radiology reports.

MIMIC-CXR from Massachusetts Institute of Technology presents 371,920 chest X-rays associated with 227,943 imaging studies from 65,079 patients. The studies were performed at Beth Israel Deaconess Medical Center in Boston, MA. Source: Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification.

2019年1月22日 · MIMIC-CXR is a large, publicly-available database comprising of de-identified chest radiographs from patients admitted to the Beth Israel Deaconess Medical Center between 2011 and 2016. The dataset contains 371,920 chest x …