PAR数据集：来自中东代表性不足人群的前列腺活检全切片图像
The PAR dataset: Prostate biopsy whole slide images from an underrepresented Middle Eastern population
AI总结：
针对公开组织病理学数据集稀缺且多为西方人群数据，导致中东等地区人群人工智能模型通用性未知的问题，公开PAR数据集，包含伊拉克185例患者的前列腺穿刺活检全切片图像，可用于多种分析评估，支持全球不同人群病理学人工智能模型开发验证。
摘要：
人工智能在数字病理学中应用日益广泛，但公开的组织病理学数据集稀缺且多代表西方人群。中东等数字化程度低的地区人群的人工智能模型通用性未知。为此公开数据集以支持全球不同人群病理学人工智能模型的开发与验证。该数据集包含伊拉克埃尔比勒185例患者的339张前列腺穿刺活检玻璃切片数字化后的1017张全切片图像，有三位病理学家独立给出的Gleason评分等，用多种扫描仪扫描，能进行多种分析评估，已存入生物图像存档库。
英文摘要：
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).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
