Large Annotated Ultrasound Dataset of Non-Alcoholic Fatty Liver from Saudi Hospitals for Analysis and Applications

Large Annotated Ultrasound Dataset for Non-Alcoholic Fatty Liver Disease (NAFLD) This dataset is a valuable resource for researchers and developers working on AI-assisted diagnosis and staging of Non-Alcoholic Fatty Liver Disease (NAFLD). It comprises a substantial collection of 10,352 high-resolution ultrasound images obtained from 384 patients at two major Saudi hospitals. Key features of the dataset: Size and diversity: A large dataset with images from a diverse patient population, capturing a wide spectrum of NAFLD severity. Detailed annotations: Each image is meticulously annotated with NAFLD Activity Score (NAS) fibrosis staging and steatosis grading, based on corresponding liver biopsy results. Standardization: Images undergo rigorous pre-processing, including size standardization and quality control, ensuring consistency and reliability. Technical validation: Inter-rater reliability and image quality preservation are rigorously assessed. Potential applications: Development and evaluation of AI algorithms for accurate NAFLD diagnosis and staging. Research on the correlation between ultrasound image features and NAFLD progression. Support for the development of computer-aided diagnostic tools for clinicians. By providing a comprehensive and well-annotated dataset, this resource aims to accelerate research and improve patient outcomes in NAFLD management.非酒精性脂肪性肝病（Non-Alcoholic Fatty Liver Disease, NAFLD）专用大型标注超声数据集 本数据集为致力于非酒精性脂肪性肝病（Non-Alcoholic Fatty Liver Disease, NAFLD）AI辅助诊断与分期研究的科研人员与开发者提供了宝贵的研究资源。数据集包含来自沙特两家大型医院的384名患者的10352幅高分辨率超声图像，样本规模可观。 数据集核心特性： 规模与多样性：本数据集样本体量庞大，患者群体覆盖广泛，涵盖了非酒精性脂肪性肝病严重程度的全谱系表现。 精细化标注：所有图像均基于对应肝脏活检结果，针对非酒精性脂肪性肝病活动度评分（NAFLD Activity Score, NAS）、纤维化分期与脂肪变分级完成了精准标注。 标准化处理：所有图像均经过严格的预处理流程，包含尺寸标准化与质量控制环节，保障数据的一致性与可靠性。 技术验证：本数据集严格评估了评分者间信度与图像质量保留情况。 潜在应用场景： 开发并评估用于非酒精性脂肪性肝病精准诊断及分期的人工智能算法。 探究超声图像特征与非酒精性脂肪性肝病疾病进展之间的关联。 为临床医生开发计算机辅助诊断工具提供支撑。 本数据集作为一套全面且标注完善的研究资源，旨在加速非酒精性脂肪性肝病管理领域的科研进程，改善患者诊疗结局。