CheXmask Database: a large-scale dataset of anatomical segmentation masks for chest x-ray images

The CheXmask Database presents a comprehensive, uniformly annotated collection of chest radiographs, constructed from five public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest and VinDr-CXR. The database aggregates 657,566 anatomical segmentation masks derived from images which have been processed using the HybridGNet model to ensure consistent, high-quality segmentation. To confirm the quality of the segmentations, we include in this database individual Reverse Classification Accuracy (RCA) scores for each of the segmentation masks. This dataset is intended to catalyze further innovation and refinement in the field of semantic chest X-ray analysis, offering a significant resource for researchers in the medical imaging domain.

CheXmask 数据库呈现了一组全面且标注一致的胸部X光片集合，该集合由五个公开数据库构建而成：ChestX-ray8、Chexpert、MIMIC-CXR-JPG、Padchest 和 VinDr-CXR。该数据库汇集了657,566个由经过HybridGNet模型处理的图像生成的解剖学分割掩码，以确保分割的一致性和高质量。为验证分割质量，我们在数据库中包含了每个分割掩码的独立逆向分类准确率（RCA）评分。此数据集旨在催化语义胸部X光分析领域的进一步创新与精炼，为医学影像领域的科研人员提供了一个重要的资源。