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 six public databases: CANDID-PTX, ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest and VinDr-CXR. The database aggregates 676,803 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统一标注的胸部X光片集合，该集合由六个公开数据库构建而成，包括 CANDID-PTX、ChestX-ray8、Chexpert、MIMIC-CXR-JPG、Padchest 和 VinDr-CXR。数据库汇集了由经过 HybridGNet 模型处理的图像产生的 676,803 个解剖分割掩码，以确保分割的一致性和高质量。为确保分割质量，我们在数据库中包含了每个分割掩码的单独反向分类准确率（RCA）分数。此数据集旨在推动语义胸部X光分析领域进一步的创新与精炼，为医学影像领域的研究人员提供一项宝贵的资源。