Harmonized multi-modal medical imaging train / validation / test corpus and healthy-tissue reference statistics (chest X-ray, CT, brain MRI)

This dataset provides a harmonized, quality-controlled, multi-modal medical imaging corpus assembled from five public sources spanning three modalities: chest X-ray (NIH ChestX-ray14), CT (DeepLesion, LIDC-IDRI), and brain MRI (BraTS-Africa, OpenBHB). All images have been standardized to a consistent 2D schema (256x256, uint8) with unified metadata fields (patient ID, acquisition site, split), following dataset-specific quality-control procedures including DICOM series completeness/modality auditing, HU intensity-offset correction and clinical windowing for CT, and brain-tissue-occupancy slice filtering for volumetric MRI-to-2D conversion. Also included are precomputed healthy-tissue reference statistics (Sref_mri.npz, Sref_cxr.npz): mean and covariance of unsupervised tissue-composition ratios, computed from confirmed-healthy image subsets (NIH ChestX-ray14 No Finding cases; OpenBHB control subjects), intended as a plausibility baseline for anomaly detection and explainable generative modeling research. Due to file size, the corpus is split across two access points: validation and test partitions plus the Sref statistics are hosted directly in this repository; training partitions (~18GB combined) are provided via a direct external link, as file size exceeds this repository's storage limit. All partitions are additionally fully reproducible from the cited public source repositories using the processing pipeline documented in the accompanying Data in Brief article, which is the authoritative long-term reference for reproducibility. Files hosted in this repository (Mendeley Data): val.zip - validation partitions for all five datasets: chestxray14_val.h5 (chest X-ray, 14-class pathology labels), deeplesion_val.h5 (CT, lesion-type labels), brats2d_val.h5 (brain MRI, 4-channel T1n/T1c/T2f/T2w, tumor category labels), lidcidri2d_val.h5 (CT, lung-windowed), openbhb2d_val.h5 (brain MRI, 62 real acquisition sites, control diagnosis) test.zip - test partitions for the same five datasets, identical structure to val.zip sref.zip - Sref_mri.npz, Sref_cxr.npz: healthy-tissue reference statistics Files hosted via external link (not archival; see also Related Links): train.zip - training partitions for all five datasets: chestxray14_train.h5, deeplesion_train.h5, brats2d_train.h5, lidcidri2d_train.h5, openbhb2d_train.h5 Link: https://drive.google.com/file/d/1xCCiGICA3DEPIAKMCDdIb88EBty0i2gX/view?usp=drive_link本数据集提供一套经过统一化处理、质量管控的多模态医学影像语料库，其整合自五个公开数据源，涵盖三大影像模态：胸部X射线（chest X-ray）、计算机断层扫描（CT）以及脑部磁共振成像（MRI），具体数据源包括胸部X射线领域的NIH ChestX-ray14，CT领域的DeepLesion、LIDC-IDRI，以及脑部MRI领域的BraTS-Africa、OpenBHB。 所有影像均已标准化至统一的二维格式（256×256像素，无符号8位整型（uint8）），并采用统一的元数据字段（患者ID、采集机构、数据集划分）。本数据集遵循针对各源数据集定制的质量控制流程，包括医学数字成像和通信（DICOM）序列完整性与模态审核、CT的亨氏单位（HU）强度偏移校正与临床窗宽窗位调整，以及针对体素MRI转二维切片的脑组织占比过滤流程。 本数据集还包含预计算的健康组织参考统计量（Sref_mri.npz、Sref_cxr.npz）：即从确认健康的影像子集（NIH ChestX-ray14的“无异常发现”病例、OpenBHB的对照组受试者）中计算得到的无监督组织构成比的均值与协方差，可作为异常检测与可解释生成式建模研究的合理性基准。 受限于文件体积，该语料库分为两个分发渠道：验证集、测试集以及健康参考统计量直接托管于本仓库；训练集总大小约18GB，因超出本仓库存储上限，将通过外部直接链接提供。所有数据集划分均可通过配套发表的《数据简报（Data in Brief）》论文中记载的处理流程，从已引用的公开源仓库中完全复现，该论文为本数据集复现性的权威长期参考依据。 本仓库托管文件（Mendeley Data）： val.zip —— 包含全部五个数据集的验证集划分：chestxray14_val.h5（胸部X射线，含14类病理标签）、deeplesion_val.h5（CT，含病变类型标签）、brats2d_val.h5（脑部MRI，含4通道T1n/T1c/T2f/T2w及肿瘤分类标签）、lidcidri2d_val.h5（CT，采用肺窗窗位）、openbhb2d_val.h5（脑部MRI，含62个真实采集机构及对照组诊断信息） test.zip —— 对应五个数据集的测试集划分，结构与val.zip完全一致 sref.zip —— 包含Sref_mri.npz、Sref_cxr.npz：健康组织参考统计量 外部链接托管文件（非存档文件；详见相关链接）： train.zip —— 包含全部五个数据集的训练集划分：chestxray14_train.h5、deeplesion_train.h5、brats2d_train.h5、lidcidri2d_train.h5、openbhb2d_train.h5 下载链接：https://drive.google.com/file/d/1xCCiGICA3DEPIAKMCDdIb88EBty0i2gX/view?usp=drive_link