首个面向中东人群的前列腺活检病理全切片图像数据集,助力AI模型跨区域泛化。
The PAR dataset: Prostate biopsy whole slide images from an underrepresented Middle Eastern population
- 采集伊拉克埃尔比勒185例患者前列腺活检样本,生成1017张全切片图像
- 含三位病理医生独立标注的格里森评分与ISUP分级,支持一致性分析
- 覆盖三种扫描仪,支持颜色归一化与跨设备鲁棒性研究,适合病理AI多样性研究
人工智能在数字病理学中的应用日益广泛,但公开可用的组织病理学数据集仍稀缺,且多集中于西方人群。这导致AI模型在中东等数字化程度较低地区的人群中泛化能力未知。为此,我们发布该数据集以支持全球多样人群病理AI模型的开发与验证。本研究共采集185例连续患者前列腺核心针穿刺活检样本,对应339张玻璃切片,经数字化生成1017张全切片图像(WSI)。所有切片由三位病理医生独立标注格里森评分(Gleason score)与国际泌尿病理学会(ISUP)分级。扫描使用两种高通量设备(Leica、Hamamatsu)及一台便携式设备(Grundium),所有图像均去标识化,并以原始格式提供。该数据集可用于分级一致性分析、颜色归一化与跨扫描仪鲁棒性评估。数据已存入生物图像档案库(BioImage Archive),编号S-BIAD2323(https://doi.org/10.6019/S-BIAD2323)。
原文摘要 · Abstract (English)
Artificial intelligence (AI) is increasingly used in digital pathology. Publicly available histopathology datasets remain scarce, and those that do exist predominantly represent Western populations. Consequently, the generalizability of AI models to populations from less digitized regions, such as the Middle East, is largely unknown. This motivates the public release of our dataset to support the development and validation of pathology AI models across globally diverse populations. We present 1,017 whole slide images by digitizing 339 glass slides of prostate core needle biopsies from a consecutive series of 185 patients collected in Erbil, Iraq. The slides are associated with Gleason scores and International Society of Urological Pathology grades assigned independently by three pathologists. Scanning was performed using two high-throughput scanners (Leica and Hamamatsu) and one compact scanner (Grundium). All slides were de-identified and are provided in their native formats without further conversion. The dataset enables grading concordance analyses, color normalization, and cross-scanner robustness evaluations. The PAR dataset has been deposited to the BioImage Archive under accession number S-BIAD2323 (https:// doi.org/10.6019/S-BIAD2323).
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